Publications


2024
Gossen’s First Law in the Modeling for Demand Side Management: A First Heat Pump Case Study
Li, C.; Förderer, K.; Moser, T.; Spatafora, L.; Hagenmeyer, V.
2024. Energy Informatics. Hrsg.: B.N. Jørgensen. Pt. 2, 111–125, Springer Nature Switzerland AG. doi:10.1007/978-3-031-48652-4_8
On the reproducibility of extrusion-based bioprinting: round robin study on standardization in the field
Grijalva Garces, D.; Strauß, S.; Gretzinger, S.; Schmieg, B.; Jüngst, T.; Groll, J.; Meinel, L.; Schmidt, I.; Hartmann, H.; Schenke-Layland, K.; Brandt, N.; Selzer, M.; Zimmermann, S.; Koltay, P.; Southan, A.; Tovar, G. E. M.; Schmidt, S.; Weber, A.; Ahlfeld, T.; Gelinsky, M.; Scheibel, T.; Detsch, R.; Boccaccini, A. R.; Naolou, T.; Lee-Thedieck, C.; Willems, C.; Groth, T.; Allgeier, S.; Köhler, B.; Friedrich, T.; Briesen, H.; Buchholz, J.; Paulus, D.; von Gladiss, A.; Hubbuch, J.
2024. Biofabrication, 16 (1), Art.-Nr.: 015002. doi:10.1088/1758-5090/acfe3b
2023
An AI-based segmentation and analysis pipeline for high-field MR monitoring of cerebral organoids
Deininger, L.; Jung-Klawitter, S.; Mikut, R.; Richter, P.; Fischer, M.; Karimian-Jazi, K.; Breckwoldt, M. O.; Bendszus, M.; Heiland, S.; Kleesiek, J.; Opladen, T.; Hübschmann, O. K.; Hübschmann, D.; Schwarz, D.
2023. Scientific Reports, 13, 21231. doi:10.1038/s41598-023-48343-7
Management Strategies for an EP device in an Energy Packet Grid
Weßbecher, M.; Marianczuk, J.; Weigel, F.; An, S. X.; Schneider, K.; Schulz, D.; Zitterbart, M.; Hiller, M.; Hagenmeyer, V.
2023. Energy Informatics: First Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings. Ed.: B. Jørgensen, Springer. doi:10.1007/978-3-031-48652-4_16
Transformationsprozess für die kommunale Energiewende sektorengekoppelte Infrastrukturen und Strategien zur Einbindung von lokalen Akteuren (TrafoKommunE) : IKT-Konzept
Grafenhorst, S.; Förderer, K.; Frankenhoff, F.; Müntefering, T.; Benthin, J.; Albus, R.
2023. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000165178
Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data. PhD dissertation
Li, L.
2023, November 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000165034
ZeitGeist: A Generic Tool Supporting the Dissemination of Time Series Data Following FAIR Principles
Schmidt, A.; Koubaa, M.; Schweikert, J.; Stucky, K.-U.; Süß, W.; Hagenmeyer, V.
2023. Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 303–310, SciTePress. doi:10.5220/0012254300003598
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis
Yamachui Sitcheu, A. J.; Friederich, N.; Baeuerle, S.; Neumann, O.; Reischl, M.; Mikut, R.
2023. Proceedings 33. Workshop Computational Intelligence. Hrsg.: H. Schulte, 169–190, KIT Scientific Publishing
Determination of the statistical distribution of drag and lift coefficients of refuse derived fuel by computer vision
Streier, R.; Wirtz, S.; Aleksandrov, K.; Gehrmann, H.-J.; Stapf, D.; Zhang, M.; Vogelbacher, M.; Matthes, J.; Scherer, V.
2023. Fuel, 352, 128847. doi:10.1016/j.fuel.2023.128847
A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain
Galenzowski, J.; Waczowicz, S.; Meisenbacher, S.; Mikut, R.; Hagenmeyer, V.
2023. BuildSys ’23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 434–441, Association for Computing Machinery (ACM). doi:10.1145/3600100.3626347
Report on research data management interviews conducted for HMC Hub Energy in 2022
Ballani, F.; Schaller, T.; Steinmeier, L.; Koubaa, M. A.; Schweikert, J.; Stucky, K.-U.; Süß, W.
2023. doi:10.5445/IR/1000164395
Evaluation and quality of data on the safety of advanced materials
Nau, K.
2023, November 10. Advanced Materials Safety 2023 (2023), Saarbrücken, Germany, November 8–10, 2023
Reliable risk communication on advanced materials safety - The DaNa4.0 Knowledge Base Materials
Nau, K.; Kühnel, D.; Krug, H. F.; Mattern, A.; Möller, N.; Steinbach, C.
2023, November 8. Advanced Materials Safety 2023 (2023), Saarbrücken, Germany, November 8–10, 2023
AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy
Friederich, N.; Yamachui Sitcheu, A. J.; Neumann, O.; Eroglu-Kayıkçı, S.; Prizak, R.; Hilbert, L.; Mikut, R.
2023. Proceedings-33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023, 31–51, KIT Scientific Publishing. doi:10.48550/arXiv.2310.04461
Selected contributions from the Workshop “Computational Intelligence”
Mikut, R.; Kroll, A.; Schulte, H.
2023. at - Automatisierungstechnik, 71 (10), 817–819. doi:10.1515/auto-2023-0159
A fully automated touch-response behavior inspection pipeline on zebrafish larvae
Wang, Y.; Pylatiuk, C.; Mikut, R.; Peravali, R.; Reischl, M.
2023. at - Automatisierungstechnik, 71 (10), 845–852. doi:10.1515/auto-2023-0013
Deep Learning-Based Particle Detection and Instance Segmentation for Microscopy Images. PhD dissertation
Scherr, T.
2023, October 20. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000163187
Biodiversity discovery with the DiversityScanner and the Entomoscope"
Pylatiuk, C.
2023, October 18. 12. European Congress of Entomology (ECE 2023), Heraklion, Greece, October 16–20, 2023
Automated 3D-modeling of small invertebrates
Klug, N.; Wührl, L.; Rotmann, K.; van de Kamp, T.; Meier, R.; Pylatiuk, C.
2023, October 16. 12. European Congress of Entomology (ECE 2023), Heraklion, Greece, October 16–20, 2023
Graph-Based Time Token Recognition using Graph Neural Networks and Stanza Library
Doms, N.; Schlachter, T.; Hahn-Woernle, L.
2023. EnviroInfo : AI and Sustainability - Session III, Gesellschaft für Informatik (GI)
A Concept for Deployment and Evaluation of Unsupervised Domain Adaptation in Cognitive Perception Systems. PhD dissertation
Schutera, M.
2023, October 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000162895
Semantico – Toolchain for literature classification
Koubaa, M. A.; Suess, W.; Stucky, K.-U.; Schmidt, A.
2023. Zenodo. doi:10.5281/zenodo.8420493
Zeitgeist : An Interactive FAIR Data Publishing System for Time Series Data
Schmidt, A.; Koubaa, M. A.; Schweiker, J.; Stucky, K.-U.; Süß, W.
2023. Zenodo. doi:10.5281/zenodo.8382658
Physics-Informed Machine Learning for Power Grid Frequency Modeling
Kruse, J.; Cramer, E.; Schäfer, B.; Witthaut, D.
2023. PRX energy, 2 (4), Art.-Nr.: 043003. doi:10.1103/PRXEnergy.2.043003
Occupant-oriented demand response with multi-zone thermal building control
Frahm, M.; Dengiz, T.; Zwickel, P.; Maaß, H.; Matthes, J.; Hagenmeyer, V.
2023. Applied Energy, 347, Art.-Nr.: 121454. doi:10.1016/j.apenergy.2023.121454
Von vollständigen zu robusten Lyapunov-Krasovskii-Funktionalen für die Analyse absoluter Stabilität in Totzeitsystemen
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2023, September 25. Tagung der VDI/VDE-GMA-Fachausschüsse 2.14 ’Systemtheorie und Regelungstechnik’ (2023), Anif, Austria, September 25–27, 2023
Development of a compact wireless SAW Pirani vacuum microsensor with extended range and sensitivity. PhD dissertation
Toto, S.
2023, September 25. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161670
Comparison of the Depth Accuracy of a Plenoptic Camera and a Stereo Camera System in Spatially Tracking Single Refuse-derived Fuel Particles in a Drop Shaft
Zhang, M.; Streier, R.; Vogelbacher, M.; Wirtz, S.; Scherer, V.; Matthes, J.
2023. Sensors and Electronic Instrumentation Advances. Ed.: S.Y. Yurish, 52–57, IFSA Publishing, S.L
Experimental investigation and parametric optimization of taper angle in 3D inkjet printing without support material
Chen, K. J.-Y.
2023, September 19. 10th International Conference on Sustainable Design and Manufacturing / Sustainability in Energy and Buildings (SDM / SEB 2023), Bari, Italy, September 18–20, 2023
A study on the effect of process parameters on feature resolution in 3D inkjet printing
Chen, K. J.-Y.
2023. WCMNM 2023 Proceedings, World Congress on Micro and Nano Manufacturing, Evanston, 18th - 21st September 2023
Reliable communication on advanced materials - the impact of science communication on society
Nau, K.; Kuehnel, D.
2023, September 18. 10th International Conference on Sustainable Design and Manufacturing / Sustainability in Energy and Buildings (SDM / SEB 2023), Bari, Italy, September 18–20, 2023
sktime – python toolbox for time series: pipelines and benchmarking
Kiraly, F.; Heidrich, B.
2023, September 17. PyCon CZ (2023), Prague, Czechia, September 15–17, 2023
Secure Equality Test Technique Using Identity-Based Signcryption for Telemedicine Systems
Ramadan, M.; Raza, S.
2023. IEEE Internet of Things Journal, 10 (18), 16594–16604. doi:10.1109/JIOT.2023.3269222
Imaging Mini Brains: Artificial Intelligence for High Field MRI of Cerebral Organoids
Deininger, L.; Jung-Klawitter, S.; Richter, P.; Fischer, M.; Karimian-Jazi, K.; Breckwoldt, M.; Bendszus, M.; Heiland, S.; Kleesiek, J.; Kuseyri Huebschmann, O.; Opladen, T.; Huebschmann, D.; Mikut, R.
2023, September 8. 14th Annual Scientific Symposium on Ultrahigh Field Magnetic Resonance: Clinical Needs, Research Promises and Technical Solutions (2023), Berlin, Germany, September 8, 2023
The HMC Information Portal for Enhanced Metadata Collaboration in the Helmholtz FAIR Data Space
Kulla, L.; Bröder, J.; Curdt, C.; Kubin, M.; Kollai, H.; Lemster, C.; Nolden, M.; Schmieder, K.; Strupp, A.; Stucky, K.-U.; Söding, E.; Walter, K. P.; Witold, A.
2023. 1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, Karlsruhe, 12th - 14th September 2023, 4 S., Karlsruher Institut für Technologie (KIT). doi:10.52825/CoRDI.v1i.383
Unsupervised GAN epoch selection for biomedical data synthesis
Böhland, M.; Bruch, R.; Löffler, K.; Reischl, M.
2023. Current Directions in Biomedical Engineering, 9 (1), 467–470. doi:10.1515/cdbme-2023-1117
A Lightweight Framework for Semantic Segmentation of Biomedical Images
Rieken Münke, F.; Rettenberger, L.; Popova, A.; Reischl, M.
2023. Current Directions in Biomedical Engineering, 9 (1), 190–193. doi:10.1515/cdbme-2023-1048
Mask R-CNN Outperforms U-Net in Instance Segmentation for Overlapping Cells
Rettenberger, L.; Rieken Münke, F.; Bruch, R.; Reischl, M.
2023. Current Directions in Biomedical Engineering, 9 (1), 335–338. doi:10.1515/cdbme-2023-1084
A comparative co-simulation analysis to improve the sustainability of cogeneration-based district multi-energy systems using photovoltaics, power-to-heat, and heat storage
Erdmann, A.; Marcellan, A.; Stock, J.; Neuroth, D.; Utama, C.; Suriyah, M.; Steinle, S.; Müller, F.; Hering, D.; Francke, H.; Gritzbach, S.; Henke, M.; Pflugradt, N.; Çakmak, H.; Kotzur, L.; Stolten, D.; Leibfried, T.; Müller, D.; Schlatmann, R.; Xhonneux, A.; Hagenmeyer, V.; Ulbrich, C.
2023. Energy conversion and management, 291, Artkl.Nr.: 117226. doi:10.1016/j.enconman.2023.117226
Reducing the taxon bias in biodiversity data using robots, Nanopore sequencing, and AI identification tools for arthropods
Pylatiuk, C.; Wührl, L.
2023, September. Tropentag (2023), Berlin, Germany, September 20–22, 2023
Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation
Rettenberger, L.; Schilling, M.; Elser, S.; Boehland, M.; Reischl, M.
2023. IEEE Transactions on Biomedical Engineering, 70 (9), 2519–2528. doi:10.1109/TBME.2023.3252889
Prof. Dr.-Ing. Ulrich Epple zum 70. Geburtstag
Bretthauer, G.
2023. at - Automatisierungstechnik, 71 (8), 720–721. doi:10.1515/auto-2023-0125
Tuning of discrete-time angular droop controllers
Jouini, T. K.; Sun, Z.; Hagenmeyer, V.
2023. 2023 IEEE Conference on Control Technology and Applications (CCTA), Bridgetown, Barbados, 16-18 August 2023, 741 – 745, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA54093.2023.10252209
Dynamic Mapping for Evolutionary Algorithm Based Optimization of Energy Hub Gas Scheduling
Poppenborg, R.; Beisswanger, K.; Hotz, C.; Förderer, K.; Kolb, T.; Hagenmeyer, V.
2023. 2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE), 206–211, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE59172.2023.10274571
A Novel Method for Topology Preserving Static Network Reduction
Weber, M.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2023. 2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 13-15 August 2023, 58–63, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE59172.2023.10274576
Dynamic Mapping for Evolutionary Algorithm Based Optimization of Energy Hub Gas Scheduling
Poppenborg, R.
2023, August 13. 11th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2023), Oshawa, Canada, August 13–15, 2023
Robot-Assisted Full Automation Interface: Touch-Response On Zebrafish Larvae. PhD dissertation
Wang, Y.
2023, August 10. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161245
Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands
Oberhofer, U.; Gorjao, L. R.; Yalcin, G. C.; Kamps, O.; Hagenmeyer, V.; Schäfer, B.
2023. 2023 IEEE Belgrade PowerTech, 1, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PowerTech55446.2023.10202986
Local versus global stability in dynamical systems with consecutive Hopf bifurcations
Böttcher, P. C.; Schäfer, B.; Kettemann, S.; Agert, C.; Witthaut, D.
2023. Physical Review Research, 5 (3), Art-Nr.: 033139. doi:10.1103/PhysRevResearch.5.033139
Parallel Power System Dynamics Simulation toolbox in Julia
Kyesswa, M.
2023, July 26. JuliaCon 2023 (2023), Cambridge, MA, USA, July 25–29, 2023
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling
Poppenborg, R.; Phipps, K.; Khalloof, H.; Förderer, K.; Mikut, R.; Hagenmeyer, V.
2023. GECCO ’23 Companion: Companion Conference on Genetic and Evolutionary Computation Lisbon Portugal July 15 - 19, 2023. Ed.: S. Silva, 755–758, Association for Computing Machinery (ACM). doi:10.1145/3583133.3590666
Data-Driven Methods for Managing Anomalies in Energy Time Series. PhD dissertation
Turowski, M.
2023, July 6. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000154434
On Higher-Order Averaging and Flatness
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2023. 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), Rome, Italy, 03-06 July 2023, 1043–1048, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CoDIT58514.2023.10284494
A Generic Flexible and Scalable Method for Using Evolutionary Algorithms in Cluster Computing Environments. PhD dissertation
Khalloof, H.
2023, July 3. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000160054
Meteorological conditions during periods of low wind speed and insolation in Germany: The role of weather regimes
Mockert, F.; Grams, C. M.; Brown, T.; Neumann, F.
2023. Meteorological Applications, 30 (4), Art.Nr.: e2141. doi:10.1002/met.2141
Multi-Objective Optimization of AISI P20 Mold Steel Machining in Dry Conditions Using Machine Learning—TOPSIS Approach
Abbas, A. T.; Sharma, N.; Alsuhaibani, Z. A.; Sharma, A.; Farooq, I.; Elkaseer, A.
2023. Machines, 11 (7), Art.-Nr.: 748. doi:10.3390/machines11070748
Understanding electricity prices beyond the merit order principle using explainable AI
Trebbien, J.; Rydin Gorjão, L.; Praktiknjo, A.; Schäfer, B.; Witthaut, D.
2023. Energy and AI, 13, Article no: 100250. doi:10.1016/j.egyai.2023.100250
PyPSA-Earth. A new global open energy system optimization model demonstrated in Africa
Parzen, M.; Abdel-Khalek, H.; Fedotova, E.; Mahmood, M.; Frysztacki, M. M.; Hampp, J.; Franken, L.; Schumm, L.; Neumann, F.; Poli, D.; Kiprakis, A.; Fioriti, D.
2023. Applied Energy, 341, 121096. doi:10.1016/j.apenergy.2023.121096
Multiple Object Tracking in Light Microscopy Images Using Graph-based and Deep Learning Methods. PhD dissertation
Löffler, K.
2023, June 29. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158917
Forecasting Power Grid Frequency Trajectories with Structured State Space Models
Pütz, S.; Schäfer, B.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, Orlando, 20th -26th June 2023, Association for Computing Machinery (ACM). doi:10.1145/3599733.3606298
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder
Werling, D.; Beichter, M.; Heidrich, B.; Phipps, K.; Mikut, R.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 59–71, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600251
TRIM11 expression in non-small cell lung cancer is associated with poor prognosis
Kuempers, C.; Jagomast, T.; Paulsen, F. O.; Heidel, C.; Bohnet, S.; Schierholz, S.; Reischl, M.; Dreyer, E.; Olchers, T.; Reck, M.; Kirfel, J.; Perner, S.
2023. Histology and histopathology, Art.-Nr.: 18647. doi:10.14670/HH-18-647
Introduction to eASiMOV-eCoSim
Kovacevic, J.; Süß, A.-C.; Çakmak, H. K.; Hagenmeyer, V.
2023. doi:10.5445/IR/1000159679
A Real-Time PHIL Implementation of a Novel Nonlinear Distributed Control Strategy for a Multi-Terminal DC Microgrid
Ekin, Ö.; Perez, F.; Damm, G.; Hagenmeyer, V.
2023. 2023 IEEE Belgrade PowerTech, Belgrade, Serbia, 25-29 June 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PowerTech55446.2023.10202843
An Efficient Greedy Algorithm for Real-World Large-Scale Electric Vehicle Charging
Hegele, M.; Metzler, P.; Beichter, S.; Wiegel, F.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 415–426, Association for Computing Machinery (ACM). doi:10.1145/3575813.3597349
A new Data-Driven Approach for Comparative Assessment of Baseline Load Profiles Supporting the Planning of Future Charging Infrastructure
Galenzowski, J.; Waczowicz, S.; Hagenmeyer, V.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 8–20, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600245
Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence
Pütz, S.; Kruse, J.; Witthaut, D.; Hagenmeyer, V.; Schäfer, B.
2023. Companion Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy ’23), 26–31, Association for Computing Machinery (ACM). doi:10.1145/3599733.3600247
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation
Phipps, K.; Meisenbacher, S.; Heidrich, B.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2023. Proceedings of the 14th ACM International Conference on Future Energy Systems, 271–286, Association for Computing Machinery (ACM). doi:10.1145/3575813.3595204
Dataset for the Segmentation of Industrial Burner Flames
Landgraf, S.; Hillemann, M.; Ulrich, M.; Aberle, M.; Jung, V.
2023, June 20. doi:10.5445/IR/1000159497
The Impact of Local Energy Market Participants’ Decisions on Efficient Energy Usage: Design of a Multi-Agent System
Speck, C.; Bluhm, S.; Weinhardt, C.; Zwickel, P.; Hagenmeyer, V.
2023. 2023 19th International Conference on the European Energy Market (EEM), Lappeenranta, Finland, 06-08 June 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM58374.2023.10161771
Longitudinal evaluation of the subbasal nerve plexus at identical corneal regions by large-area confocal microscopy
Bohn, S.; Stache, N.; Sterenczak, K.; Sperlich, K.; Allgeier, S.; Köhler, B.; Mikut, R.; Reichert, K.-M.; Guthoff, R.; Stachs, O.
2023. Investigative ophthalmology & visual science, 64 (8)
A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation
Bauer, R.; Dai, X.; Hagenmeyer, V.
2023. e-Energy ’23: Proceedings of the 14th ACM International Conference on Future Energy Systems, 109 – 113, Association for Computing Machinery (ACM). doi:10.1145/3575813.3576881
Investigation and Statistical Analysis for Optimizing Surface Roughness, Cutting Forces, Temperature, and Productivity in Turning Grey Cast Iron
El Rayes, M. M.; Abbas, A. T.; Al-Abduljabbar, A. A.; Ragab, A. E.; Benyahia, F.; Elkaseer, A.
2023. Metals, 13 (6), Art.-Nr.: 1098. doi:10.3390/met13061098
Design-for-manufacture of a dual-chamber nozzle for hydrodynamic focusing of the Aerosol-on-Demand jet-printhead
Ungerer, M.; Gengenbach, U.; Grewal, K. S.; Wenka, A.; Sieber, I.
2023. 2023 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP), 5 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DTIP58682.2023.10267945
Direct Window-to-Wall Ratio Prediction Using Deep Learning Approaches
Zhuo, X.; Tian, J.; Häfele, K.-H.
2023. 2023 Joint Urban Remote Sensing Event (JURSE), 1–4, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/JURSE57346.2023.10144162
Erste Konzepte zur automatisierten semantischen, geographischen und zeitlichen Verschlagwortung strukturierter Datensätze
Doms, N.; Schlachter, T.; Hahn-Woernle, L.
2023, May 11. 30. Workshop Umweltinformationssysteme "Digitalisierung im Zeichen des Klimawandels und der Energiewende" (UIS 2023 2023), Höxter, Germany, May 10–12, 2023
Hybrid Risk Assessment Process for Smart Grids
Canbolat, S.; Elbez, G.; Hagenmeyer, V.
2023, May 10. 10th KIT-Zentrum Energie Promovierenden-Symposium // KIT Energy Center Doctoral Symposium (2023), Karlsruhe, Germany, May 10, 2023
A Novel Plenoptic Camera-Based Measurement System for the Investigation into Flight and Combustion Behavior of Refuse-Derived Fuel Particles
Zhang, M.; Vogelbacher, M.; Aleksandrov, K.; Gehrmann, H.-J.; Stapf, D.; Streier, R.; Wirtz, S.; Scherer, V.; Matthes, J.
2023. ACS Omega, 8 (19), 16700–16712. doi:10.1021/acsomega.2c08004
Automating day-ahead forecasting of photovoltaic power generation: Model design, monitoring, and adaption
Meisenbacher, S.; Martin, T.; Heidrich, B.; Mikut, R.; Hagenmeyer, V.
2023. ETG Congress 2023, Kassel, Germany, 25-26 May 2023, 83–90, VDE Verlag
Corrigendum to “ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles” [Energy Build. 265 (2022) 112096]
Quintana, M.; Stoeckmann, T.; Park, J. Y.; Turowski, M.; Hagenmeyer, V.; Miller, C.
2023. Energy and Buildings, 286, Art.-Nr.: 112930. doi:10.1016/j.enbuild.2023.112930
Taxane-Induced Neuropathy and Its Ocular Effects—A Longitudinal Follow-up Study in Breast Cancer Patients
Stache, N.; Bohn, S.; Sperlich, K.; George, C.; Winter, K.; Schaub, F.; Do, H.-V.; Röhlig, M.; Reichert, K.-M.; Allgeier, S.; Stachs, O.; Stachs, A.; Sterenczak, K. A.
2023. Cancers, 15 (9), Art.-Nr.: 2444. doi:10.3390/cancers15092444
Development and Numerical Optimization of a System of Integrated Agents for Serial Production Lines
Alkhalefah, H.; Umer, U.; Abidi, M. H.; Elkaseer, A.
2023. Processes, 11 (5), Art.-Nr.: 1578. doi:10.3390/pr11051578
Automated Style-aware Selection of Annotated Pre-training Databases in Biomedical Imaging
Molina-Moreno, M.; Schilling, M.; Reischl, M.; Mikut, R.
2023, April 21. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia, April 18–21, 2023
Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging
Molina-Moreno, M.; Schilling, M. P.; Reischl, M.; Mikut, R.
2023. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 5 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISBI53787.2023.10230659
Towards E-Mobility in Energy Lab 2.0 - Research-Oriented Integration Approach
Wiegel, F.
2023, April 18. 10. Vector E-Mobility Symposium (2023), Stuttgart, Germany, April 18–19, 2023
The Role of Spatial Scale in Electricity System Optimisation Models. PhD dissertation
Frysztacki, M. M.
2023, April 6. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000157620/v2
Investigations of Ratio-Based Integrated Influence Lines as Features for Bridge-Damage Detection
Döring, A.; Vogelbacher, M.; Schneider, O.; Müller, J.; Hinz, S.; Matthes, J.
2023. Infrastructures, 8 (4), Art.-Nr. 72. doi:10.3390/infrastructures8040072
Camera based flame stability monitoring and control of multi-burner systems using deep learning based flame detection
Matthes, J.; Waibel, P.; Kollmer, M.; Aleksandrov, K.; Gehrmann, H.-J.; Stapf, D.; Vogelbacher, M.
2023. Thermal Science and Engineering Progress, Artkl.Nr.: 101859. doi:10.1016/j.tsep.2023.101859
Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks
Heidrich, B.; Turowski, M.; Phipps, K.; Schmieder, K.; Süß, W.; Mikut, R.; Hagenmeyer, V.
2023. Applied Intelligence, 53 (8), 8826–8843. doi:10.1007/s10489-022-03742-7
Distributed Co-Simulation of Multimodal Energy Systems using eASiMOV : Tutorial 5
Süß, A.-C.; Kovacevic, J.; Cakmak, H.; Hagenmeyer, V.
2023. 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Institute of Electrical and Electronics Engineers (IEEE)
PyAPI-RTS: A Python-API for RSCAD Modeling
Weber, M.; Enzinger, J.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2023. 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Hrsg.: IEEE, International Workshop on Open Source Modelling and Simulation of Energy Systems (OSMSES 2023), Aachen, Deutschland, 27.03.2023–29.03.2023, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES58477.2023.10089671
Introducing PROOF - A PROcess Orchestration Framework for the Automation of Computational Scientific Workflows and Co-Simulations
Liu, J.; Chlosta, M.; Schaber, N.; Sidler, J.; Lutz, R.; Schlachter, T.; Hagenmeyer, V.
2023. 2023 Open Source Modelling and Simulation of Energy Systems (OSMSES), Hrsg.: IEEE, International Workshop on Open Source Modelling and Simulation of Energy Systems (OSMSES 2023) Aachen, Deutschland, 27.03.2023–29.03.2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES58477.2023.10089680
Automated floorplan generation using mathematical optimization
Zhong, Y.; Geiger, A.
2023. ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022 – Proceedings of the 14th European Conference on Product and Process Modelling (ECPPM 2022), September 14-16, 2022, Trondheim, Norway., 404–410, CRC Press. doi:10.1201/9781003354222-52
Model Diagnostics and Forecast Evaluation for Quantiles
Gneiting, T.; Wolffram, D.; Resin, J.; Kraus, K.; Bracher, J.; Dimitriadis, T.; Hagenmeyer, V.; Jordan, A. I.; Lerch, S.; Phipps, K.; Schienle, M.
2023. Annual Review of Statistics and Its Application, 10. doi:10.1146/annurev-statistics-032921-020240
Microscopic Fluctuations in Power-Grid Frequency Recordings at the Subsecond Scale
Schäfer, B.; Rydin Gorjão, L.; Yalcin, G. C.; Förstner, E.; Jumar, R.; Maass, H.; Kühnapfel, U.; Hagenmeyer, V.
2023. (H. Sayama, Ed.) Complexity, 2023, Art.-Nr.: 2657039. doi:10.1155/2023/2657039
Predicting the power grid frequency of European islands
Lund Onsaker, T.; Nygård, H. S.; Gomila, D.; Colet, P.; Mikut, R.; Jumar, R.; Maass, H.; Kühnapfel, U.; Hagenmeyer, V.; Schäfer, B.
2023. Journal of Physics: Complexity, 4 (1), Article no: 015012. doi:10.1088/2632-072X/acbd7f
Automatisierte Grundrisserzeugung in der Entwurfsphase
Geiger, A.
2023, March 1. Round Table Cyber Forum (2023), Online, March 1–2, 2023
A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids
Kyesswa, M.; Weber, M.; Wiegel, F.; Wachter, J.; Waczowicz, S.; Kühnapfel, U.; Hagenmeyer, V.
2023. Energy Technology, 11 (3). doi:10.1002/ente.202201186
Umweltinformationen digital 4.0 - Analyse moderner Technologien für die Erfassung, Haltung und Weitergabe von Umweltdaten
Hahn-Woernle, L.; Schillinger, W.; Schlachter, T.; Doms, N.; Trefzger, M.; Schlegel, T.; Wolf, A.; Preiß, A.
2023. Umweltinformationssysteme – Vielfalt, Offenheit, Komplexität : Tagungsband des 29. Workshops “Umweltinformationssysteme (UIS 2022)“ des Arbeitskreises „Umweltinformationssysteme“ der Fachgruppe „Informatik im Umweltschutz‘‘ der Gesellschaft für Informatik (GI). Hrsg.: F. Fuchs-Kittowski, Springer Vieweg
Herrn Prof. Franz Mesch zum 90. Geburtstag
Bretthauer, G.; Beyerer, J.; Stiller, C.
2023. at - Automatisierungstechnik, 71 (2), 176–178. doi:10.1515/auto-2023-0006
Oscillating combustion of different fuel types for NOₓ reduction in grate furnaces and coal burners
Jolibois, N.; Gehrmann, H.-J.; Aleksandrov, K.; Hauser, M.; Stapf, D.; Jäger, B.; Wirtz, S.; Scherer, V.; Danz, P.; Matthes, J.; Vogelbacher, M.; Waibel, P.
2023. Fuel, 340, Art.-Nr.: 127504. doi:10.1016/j.fuel.2023.127504
Import options for chemical energy carriers from renewable sources to Germany
Hampp, J.; Düren, M.; Brown, T.
2023. PLOS ONE, 18 (2), Art.-Nr.: e0262340. doi:10.1371/journal.pone.0281380
A Purely Visual Re-ID Approach for Bumblebees (Bombus terrestris)
Borlinghaus, P.; Tausch, F.; Rettenberger, L.
2023. Smart Agricultural Technology, 3, Art.-Nr.: 100135. doi:10.1016/j.atech.2022.100135
An In-depth Comparison of Experiment Tracking Tools for Machine Learning Applications
Budras, T.; Blanck, M.; Berger, T.; Schmidt, A.
2023. International Journal on Advances in Software, 15 (3 & 4), 152–164
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
Caspart, R.; Ziegler, S.; Weyrauch, A.; Obermaier, H.; Raffeiner, S.; Schuhmacher, L. P.; Scholtyssek, J.; Trofimova, D.; Nolden, M.; Reinartz, I.; Isensee, F.; Götz, M.; Debus, C.
2023. High Performance Computing. ISC High Performance 2022 International Workshops – Hamburg, Germany, May 29 – June 2, 2022, Revised Selected Papers. Ed.: H. Anzt, 108–121, Springer International Publishing. doi:10.1007/978-3-031-23220-6_8
Ein Chatbot zu Umweltfragen
Hahn-Woernle, L.; Fröbel, J.; Doms, N.; Schillinger, W.; Schlachter, T.; Preiß, A.
2023. 30. Workshop Umweltinformationssysteme "Digitalisierung im Zeichen des Klimawandels und der Energiewende" (UIS 2023 2023), Höxter, Germany, May 10–12, 2023
Sparkling DAC Decentralized, modular and flexibly operated Direct Air Capture Prototype
Beichter, S.; Herfet, M.; Ordonez, M.; Rentschler, P.
2023. KIT Science Week / 4. Helmholtz Sustainability Summit (2023), Karlsruhe, Germany, October 10, 2023
Additive manufacturing of pressure resistant vessels for underwater environmental monitoring – Investigation of printing parameters in fused filament fabrication
Mueller, T.; L’Hermitte, L.; Scholz, S.
2023. 10th International Conference on Sustainable Design and Manufacturing / Sustainability in Energy and Buildings (SDM / SEB 2023), Bari, Italy, September 18–20, 2023
Hypergraph-Based Fast Distributed AC Power Flow Optimization
Dai, X.; Lian, Y.; Jiang, Y.; Jones, C. N.; Hagenmeyer, V.
2023. arxiv. doi:10.48550/arXiv.2307.06728
The Kopernikus ENSURE Co-Demonstration Platform
Mehlmann, G.; Kühnapfel, U.; Wege, F.; Winkens, A.; Scheibe, C.; Vogel, S.; Noglik, P.; Gratza, M.; Richter, J.; Weber, M.; Burlakin, I.; Kuri, A.; Wagner, T.; Hubschneider, S.; Poppenborg, R.; Heins, T.; Förderer, K. M.; Ulbig, A.; Monti, A.; Hagenmeyer, V.; Luther, M.
2023. IEEE Open Journal of Power Electronics. doi:10.1109/OJPEL.2023.3332515
Influence of Technological Parameters on Chip Formation and Chip Control in Precision Hard Turning of Ti-6Al-4V
Abdelnasser, E.; El-Sanabary, S.; Nassef, A.; Barakat, A.; Elkaseer, A.
2023. Micromachines, 14 (10), 1–19. doi:10.3390/mi14101973
Improving generative adversarial networks for patch-based unpaired image-to-image translation
Böhland, M.; Bruch, R.; Bäuerle, S.; Rettenberger, L.; Reischl, M.
2023. IEEE Access, 1. doi:10.1109/ACCESS.2023.3331819
Search for Higgs boson pairs decaying to WW*WW*, WW*ττ, and ττττ in proton-proton collisions at = 13 TeV
CMS Collaboration; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; Pitters, F. M.; Schieck, J.; Schöfbeck, R.; Schwarz, D.; Templ, S.; Waltenberger, W.; Wulz, C.-E.; Darwish, M. R.; De Wolf, E. A.; Janssen, T.; Kello, T.; Lelek, A.; Rejeb Sfar, H.; Mechelen, P. Van; Van Remortel, N.; Bols, E. S.; D’Hondt, J.; De Moor, A.; Delcourt, M.; El Faham, H.; Lowette, S.; Moortgat, S.; Morton, A.; Müller, D.; Sahasransu, A. R.; Tavernier, S.; Doninck, W. Van; Vannerom, D.; Beghin, D.; Clerbaux, B.; De Lentdecker, G.; Favart, L.; Jaramillo, J.; Lee, K.; Mahdavikhorrami, M.; Makarenko, I.; Malara, A.; Paredes, S.; Pétré, L.; Popov, A.; Postiau, N.; Starling, E.; Thomas, L.; Vanden Bemden, M.; Vander Velde, C.; Vanlaer, P.; Dobur, D.; Knolle, J.; Lambrecht, L.; Mestdach, G.; Niedziela, M.; Rendón, C.; Roskas, C.; Samalan, A.; Skovpen, K.; Tytgat, M.; Van Den Bossche, N.; Vermassen, B.; Wezenbeek, L.; Benecke, A.; Bethani, A.; Bruno, G.; Bury, F.; Caputo, C.; David, P.; Delaere, C.; Donertas, I. S.; Giammanco, A.; Jaffel, K.; Jain, S.; Lemaitre, V.; Mondal, K.; Prisciandaro, J.; Taliercio, A.; Tran, T. T.; Vischia, P.; Wertz, S.; Alves, G. A.; Coelho, E.; Hensel, C.; Moraes, A.; Rebello Teles, P.; Aldá Júnior, W. L.; Alves Gallo Pereira, M.; Barroso Ferreira Filho, M.; Brandao Malbouisson, H.; Carvalho, W.; Chinellato, J.; Costa, E. M. Da; Silveira, G. G. Da; De Jesus Damiao, D.; Dos Santos Sousa, V.; Fonseca De Souza, S.; Martins, J.; Mora Herrera, C.; Mota Amarilo, K.; Mundim, L.; Nogima, H.; Santoro, A.; Silva Do Amaral, S. M.; Sznajder, A.; Thiel, M.; Torres Da Silva De Araujo, F.; Vilela Pereira, A.; Bernardes, C. A.; Calligaris, L.; Fernandez Perez Tomei, T. R.; Gregores, E. M.; Mercadante, P. G.; Novaes, S. F.; Padula, S. S.; Aleksandrov, A.; Antchev, G.; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.; Shopova, M.; Sultanov, G.; Dimitrov, A.; Ivanov, T.; Litov, L.; Pavlov, B.; Petkov, P.; Petrov, A.; Cheng, T.; Javaid, T.; Mittal, M.; Yuan, L.; Ahmad, M.; Bauer, G.; Hu, Z.; Yi, K.; Chen, G. M.; Chen, H. S.; Chen, M.; Iemmi, F.; Jiang, C. H.; Kapoor, A.; Liao, H.; Liu, Z.-A.; Milosevic, V.; Monti, F.; Sharma, R.; Tao, J.; Thomas-Wilsker, J.; Wang, J.; Zhang, H.; Zhao, J.; Agapitos, A.; An, Y.; Ban, Y.; Chen, C.; Levin, A.; Li, Q.; Lyu, X.; Mao, Y.; Qian, S. J.; Sun, X.; Wang, D.; Xiao, J.; Yang, H.; Lu, M.; You, Z.; Gao, X.; Leggat, D.; Okawa, H.; Zhang, Y.; Lin, Z.; Xiao, M.; Avila, C.; Cabrera, A.; Florez, C.; Fraga, J.; Mejia Guisao, J.; Ramirez, F.; Ruiz Alvarez, J. D.; Giljanovic, D.; Godinovic, N.; Lelas, D.; Puljak, I.; Antunovic, Z.; Kovac, M.; Sculac, T.; Brigljevic, V.; Chitroda, B. K.; Ferencek, D.; Majumder, D.; Roguljic, M.; Starodumov, A.; Susa, T.; Attikis, A.; Christoforou, K.; Kole, G.; Kolosova, M.; Konstantinou, S.; Mousa, J.; Nicolaou, C.; Ptochos, F.; Razis, P. A.; Rykaczewski, H.; Saka, H.; Finger, M.; Finger, M., Jr.; Kveton, A.; Ayala, E.; Carrera Jarrin, E.; Abdalla, H.; Assran, Y.; Mahmoud, M. A.; Mohammed, Y.; Bhowmik, S.; Dewanjee, R. K.; Ehataht, K.; Kadastik, M.; Nandan, S.; Nielsen, C.; Pata, J.; Raidal, M.; Tani, L.; Veelken, C.; Eerola, P.; Kirschenmann, H.; Osterberg, K.; Voutilainen, M.; Bharthuar, S.; Brücken, E.; Garcia, F.; Havukainen, J.; Kim, M. S.; Kinnunen, R.; Lampén, T.; Lassila-Perini, K.; Lehti, S.; Lindén, T.; Lotti, M.; Martikainen, L.; Myllymäki, M.; Ott, J.; Rantanen, M. m.; Siikonen, H.; Tuominen, E.; Tuominiemi, J.; Luukka, P.; Petrow, H.; Tuuva, T.; Amendola, C.; Besancon, M.; Couderc, F.; Dejardin, M.; Denegri, D.; Faure, J. L.; Ferri, F.; Ganjour, S.; Gras, P.; Hamel de Monchenault, G.; Jarry, P.; Lohezic, V.; Malcles, J.; Rander, J.; Rosowsky, A.; Sahin, M. Ö.; Savoy-Navarro, A.; Simkina, P.; Titov, M.; Ahuja, S.; Baldenegro Barrera, C.; Beaudette, F.; Bonanomi, M.; Buchot Perraguin, A.; Busson, P.; Cappati, A.; Charlot, C.; Davignon, O.; Diab, B.; Falmagne, G.; Fontana Santos Alves, B. A.; Ghosh, S.; Granier de Cassagnac, R.; Hakimi, A.; Harikrishnan, B.; Motta, J.; Nguyen, M.; Ochando, C.; Portales, L.; Rembser, J.; Salerno, R.; Sarkar, U.; Sauvan, J. B.; Sirois, Y.; Tarabini, A.; Vernazza, E.; Zabi, A.; Zghiche, A.; Agram, J.-L.; Andrea, J.; Apparu, D.; Bloch, D.; Bourgatte, G.; Brom, J.-M.; Chabert, E. C.; Collard, C.; Darej, D.; Goerlach, U.; Grimault, C.; Le Bihan, A.-C.; Nibigira, E.; Van Hove, P.; Beauceron, S.; Bernet, C.; Boudoul, G.; Camen, C.; Carle, A.; Chanon, N.; Contardo, D.; Depasse, P.; El Mamouni, H.; Fay, J.; Gascon, S.; Gouzevitch, M.; Grenier, G.; Ille, B.; Laktineh, I. B.; Lethuillier, M.; Mirabito, L.; Perries, S.; Shchablo, K.; Sordini, V.; Torterotot, L.; Vander Donckt, M.; Viret, S.; Bagaturia, I.; Lomidze, I.; Tsamalaidze, Z.; Botta, V.; Feld, L.; Klein, K.; Lipinski, M.; Meuser, D.; Pauls, A.; Röwert, N.; Teroerde, M.; Dodonova, A.; Eich, N.; Eliseev, D.; Erdmann, M.; Fackeldey, P.; Fischer, B.; Hebbeker, T.; Hoepfner, K.; Ivone, F.; Lee, M. y.; Mastrolorenzo, L.; Merschmeyer, M.; Meyer, A.; Mondal, S.; Mukherjee, S.; Noll, D.; Novak, A.; Pozdnyakov, A.; Rath, Y.; Reithler, H.; Schmidt, A.; Schuler, S. C.; Sharma, A.; Vigilante, L.; Wiedenbeck, S.; Zaleski, S.; Dziwok, C.; Flügge, G.; Haj Ahmad, W.; Hlushchenko, O.; Kress, T.; Nowack, A.; Pooth, O.; Stahl, A.; Ziemons, T.; Zotz, A.; Aarup Petersen, H.; Aldaya Martin, M.; Asmuss, P.; Baxter, S.; Bayatmakou, M.; Behnke, O.; Bermúdez Martínez, A.; Bhattacharya, S.; Bin Anuar, A. A.; Blekman, F.; Borras, K.; Brunner, D.; Campbell, A.; Cardini, A.; Cheng, C.; Colombina, F.; Consuegra Rodríguez, S.; Correia Silva, G.; De Silva, M.; Didukh, L.; Eckerlin, G.; Eckstein, D.; Estevez Banos, L. I.; Filatov, O.; Gallo, E.; Geiser, A.; Giraldi, A.; Greau, G.; Grohsjean, A.; Guglielmi, V.; Guthoff, M.; Jafari, A.; Jomhari, N. Z.; Kaech, B.; Kasem, A.; Kasemann, M.; Kaveh, H.; Kleinwort, C.; Kogler, R.; Krücker, D.; Lange, W.; Lipka, K.; Lohmann, W.; Mankel, R.; Melzer-Pellmann, I.-A.; Mendizabal Morentin, M.; Metwally, J.; Meyer, A. B.; Milella, G.; Mormile, M.; Mussgiller, A.; Nürnberg, A.; Otarid, Y.; Pérez Adán, D.; Raspereza, A.; Ribeiro Lopes, B.; Rübenach, J.; Saggio, A.; Saibel, A.; Savitskyi, M.; Scham, M.; Scheurer, V.; Schnake, S.; Schütze, P.; Schwanenberger, C.; Shchedrolosiev, M.; Sosa Ricardo, R. E.; Stafford, D.; Tonon, N.; Van De Klundert, M.; Vazzoler, F.; Walsh, R.; Walter, D.; Wang, Q.; Wen, Y.; Wichmann, K.; Wiens, L.; Wissing, C.; Wuchterl, S.; Zimermmane Castro Santos, A.; Aggleton, R.; Albrecht, S.; Bein, S.; Benato, L.; Connor, P.; De Leo, K.; Eich, M.; El Morabit, K.; Feindt, F.; Fröhlich, A.; Garbers, C.; Garutti, E.; Hajheidari, M.; Haller, J.; Hinzmann, A.; Kasieczka, G.; Klanner, R.; Korcari, W.; Kramer, T.; Kutzner, V.; Lange, J.; Lange, T.; Lobanov, A.; Matthies, C.; Mehta, A.; Moureaux, L.; Mrowietz, M.; Nigamova, A.; Pena Rodriguez, K. J.; Rieger, M.; Rieger, O.; Schleper, P.; Schröder, M.; Schwandt, J.; Stadie, H.; Steinbrück, G.; Tews, A.; Wolf, M.; Bechtel, J.; Brommer, S.; Burkart, M.; Butz, E.; Caspart, R.; Chwalek, T.; Dierlamm, A.; Droll, A.; Faltermann, N.; Giffels, M.; Gosewisch, J. O.; Gottmann, A.; Hartmann, F.; Heidecker, C.; Horzela, M.; Husemann, U.; Keicher, P.; Koppenhöfer, R.; Maier, S.; Mitra, S.; Müller, T.; Neukum, M.; Quast, G.; Rabbertz, K.; Rauser, J.; Savoiu, D.; Schnepf, M.; Seith, D.; Shvetsov, I.; Simonis, H. J.; Ulrich, R.; van der Linden, J.; Von Cube, R. F.; Wassmer, M.; Weber, M.; Wieland, S.; Wolf, R.; Wozniewski, S.; Wunsch, S.; Anagnostou, G.; Assiouras, P.; Daskalakis, G.; Kyriakis, A.; Stakia, A.; Diamantopoulou, M.; Karasavvas, D.; Kontaxakis, P.; Manousakis-Katsikakis, A.; Panagiotou, A.; Papavergou, I.; Saoulidou, N.; Theofilatos, K.; Tziaferi, E.; Vellidis, K.; Vourliotis, E.; Bakas, G.; Kousouris, K.; Papakrivopoulos, I.; Tsipolitis, G.; Zacharopoulou, A.; Adamidis, K.; Bestintzanos, I.; Evangelou, I.; Foudas, C.; Gianneios, P.; Katsoulis, P.; Kokkas, P.; Manthos, N.; Papadopoulos, I.; Strologas, J.; Csanád, M.; Farkas, K.; Gadallah, M. M. A.; Lökös, S.; Major, P.; Mandal, K.; Pásztor, G.; Rádl, A. J.; Surányi, O.; Veres, G. I.; Bartók, M.; Bencze, G.; Hajdu, C.; Horvath, D.; Sikler, F.; Veszpremi, V.; Beni, N.; Czellar, S.; Fasanella, D.; Karancsi, J.; Molnar, J.; Szillasi, Z.; Teyssier, D.; Raics, P.; Ujvari, B.; Zilizi, G.; Csorgo, T.; Nemes, F.; Novak, T.; Babbar, J.; Bansal, S.; Beri, S. B.; Bhatnagar, V.; Chaudhary, G.; Chauhan, S.; Dhingra, N.; Gupta, R.; Kaur, A.; Kaur, H.; Kaur, M.; Kumari, P.; Meena, M.; Sandeep, K.; Singh, J. B.; Virdi, A. K.; Ahmed, A.; Bhardwaj, A.; Choudhary, B. C.; Gola, M.; Keshri, S.; Kumar, A.; Naimuddin, M.; Priyanka, P.; Ranjan, K.; Saumya, S.; Shah, A.; Bhattacharya, R.; Bhattacharya, S.; Bhowmik, D.; Dutta, S.; Dutta, S.; Gomber, B.; Maity, M.; Palit, P.; Rout, P. K.; Saha, G.; Sahu, B.; Sarkar, S.; Behera, P. K.; Behera, S. C.; Kalbhor, P.; Komaragiri, J. R.; Kumar, D.; Muhammad, A.; Panwar, L.; Pradhan, R.; Pujahari, P. R.; Sharma, A.; Sikdar, A. K.; Tiwari, P. C.; Naskar, K.; Aziz, T.; Dugad, S.; Kumar, M.; Mohanty, G. B.; Suryadevara, P.; Banerjee, S.; Chudasama, R.; Guchait, M.; Karmakar, S.; Kumar, S.; Majumder, G.; Mazumdar, K.; Mukherjee, S.; Bahinipati, S.; Kar, C.; Mal, P.; Mishra, T.; Muraleedharan Nair Bindhu, V. K.; Nayak, A.; Saha, P.; Sur, N.; Swain, S. K.; Vats, D.; Alpana, A.; Dube, S.; Kansal, B.; Laha, A.; Pandey, S.; Rastogi, A.; Sharma, S.; Bakhshiansohi, H.; Khazaie, E.; Zeinali, M.; Chenarani, S.; Etesami, S. M.; Khakzad, M.; Mohammadi Najafabadi, M.; Grunewald, M.; Abbrescia, M.; Aly, R.; Aruta, C.; Colaleo, A.; Creanza, D.; Filippis, N. De; De Palma, M.; Di Florio, A.; Elmetenawee, W.; Errico, F.; Fiore, L.; Iaselli, G.; Ince, M.; Lezki, S.; Maggi, G.; Maggi, M.; Margjeka, I.; Mastrapasqua, V.; My, S.; Nuzzo, S.; Pellecchia, A.; Pompili, A.; Pugliese, G.; Radogna, R.; Ramos, D.; Ranieri, A.; Selvaggi, G.; Silvestris, L.; Simone, F. M.; Soezbilir, U. E.; Venditti, R.; Verwilligen, P.; Abbiendi, G.; Battilana, C.; Bonacorsi, D.; Borgonovi, L.; Brigliadori, L.; Campanini, R.; Capiluppi, P.; Castro, A.; Cavallo, F. R.; Cuffiani, M.; Dallavalle, G. M.; Diotalevi, T.; Fabbri, F.; Fanfani, A.; Giacomelli, P.; Giommi, L.; Grandi, C.; Guiducci, L.; Lo Meo, S.; Lunerti, L.; Marcellini, S.; Masetti, G.; Navarria, F. L.; Perrotta, A.; Primavera, F.; Rossi, A. M.; Rovelli, T.; Siroli, G. P.; Costa, S.; Di Mattia, A.; Potenza, R.; Tricomi, A.; Tuve, C.; Barbagli, G.; Camaiani, B.; Cassese, A.; Ceccarelli, R.; Ciulli, V.; Civinini, C.; D’Alessandro, R.; Focardi, E.; Latino, G.; Lenzi, P.; Lizzo, M.; Meschini, M.; Paoletti, S.; Seidita, R.; Sguazzoni, G.; Viliani, L.; Benussi, L.; Bianco, S.; Piccolo, D.; Bozzo, M.; Ferro, F.; Mulargia, R.; Robutti, E.; Tosi, S.; Benaglia, A.; Boldrini, G.; Brivio, F.; Cetorelli, F.; De Guio, F.; Dinardo, M. E.; Dini, P.; Gennai, S.; Ghezzi, A.; Govoni, P.; Guzzi, L.; Lucchini, M. T.; Malberti, M.; Malvezzi, S.; Massironi, A.; Menasce, D.; Moroni, L.; Paganoni, M.; Pedrini, D.; Pinolini, B. S.; Ragazzi, S.; Redaelli, N.; Tabarelli de Fatis, T.; Zuolo, D.; Buontempo, S.; Carnevali, F.; Cavallo, N.; De Iorio, A.; Fabozzi, F.; Iorio, A. O. 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Modelling and Design-for-Manufacturing of an Aerosol-on-Demand Jet-Printhead
Ungerer, M.; Benítez, J. L.; Zeltner, D.; Wenka, A.; Gengenbach, U.; Sieber, I.
2023. Simulation and Modeling Methodologies, Technologies and Applications. Ed.: G. Wagner, 1–21, Springer Nature Switzerland AG. doi:10.1007/978-3-031-43824-0_1
A search for decays of the Higgs boson to invisible particles in events with a top-antitop quark pair or a vector boson in proton-proton collisions at √s = 13 TeV
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2023. The European Physical Journal C, 83 (10), 933. doi:10.1140/epjc/s10052-023-11952-7
3072 – UNDERSTANDING THE RELATIONSHIP BETWEEN STEM CELL HETEROGENEITY AND RECONSTITUTION KINETICS IN HEMATOPOIETIC SYSTEMS: INSIGHTS FROM IN-DEPTH SINGLE-CELL ANALYSIS OF CLONALLY-DERIVED SYSTEMS
Grünschläger, F.; Al-Sabah, J.; Correa, E. R.; Kumpost, V.; Malmierca, P. H.; Mathioudaki, A.; Anstee, N.; Gräsel, J.; Vonficht, D.; Zaugg, J.; Mikut, R.; Milsom, M.; Trumpp, A.; Hübschmann, D.; Haas, S.
2023. Experimental Hematology, 124, S86. doi:10.1016/j.exphem.2023.06.179
Using weather data in energy time series forecasting: the benefit of input data transformations
Neumann, O.; Turowski, M.; Mikut, R.; Hagenmeyer, V.; Ludwig, N.
2023. Energy Informatics, 6 (1), Art.-Nr.: 44. doi:10.1186/s42162-023-00299-8
Transformer training strategies for forecasting multiple load time series
Hertel, M.; Beichter, M.; Heidrich, B.; Neumann, O.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2023. Energy Informatics, 6 (S1), Art.-Nr.: 20. doi:10.1186/s42162-023-00278-z
Poster Abstract: A three-phase electricity grid model of a single family house
Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2023. 12th DACH+ Conference on Energy Informatics (2023), Vienna, Austria, October 4–6, 2023
Abstracts of the 12th DACH+ Conference on Energy Informatics 2023
Grafenhorst, S.; Förderer, K.; Hagenmeyer, V.
2023. Energy Informatics, 6 (S2). doi:10.1186/s42162-023-00272-5
FAIR Data for Energy System Research – An Overview of NFDI4Energy Task Area 4
Wein, A.; Reinkensmeier, J.; Weidlich, A.; Lilliestam, J.; Hagenmeyer, V.; Richter, M.; Auer, S.; Nieße, A.; Lehnhoff, S.
2023. 1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, Karlsruhe, 12th - 14th September 2023, 1–4, Karlsruher Institut für Technologie (KIT). doi:10.52825/CoRDI.v1i.364
RO-Crate Time Series Exporter for the Building Consumption Data of KIT Campus North
Schweikert, J.; Turowski, M.; Köbe, V.; Süß, W.; Hagenmeyer, V.
2023. 1st Conference on Research Data Infrastructure (CoRDI 2023), Karlsruhe, Germany, September 12–14, 2023. doi:10.5281/zenodo.8423342
Enhancing Agility and Reconfigurability in Production: A Database-Driven Infrastructure to Support Additive Manufacturing with Collaborative Robotics
Mueller, T.; Scholz, S.; Salem, M.; Hagenmeyer, V.; Schmidt, A.
2023. Production Processes and Product Evolution in the Age of Disruption – Proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2023) and the 11th World Mass Customization & Personalization Conference (MCPC2023), Bologna, Italy, June 2023, 255 – 263, Springer International Publishing. doi:10.1007/978-3-031-34821-1_28
Synchronization of oscillatory growth prepares fungal hyphae for fusion
Wernet, V.; Kriegler, M.; Kumpost, V.; Mikut, R.; Hilbert, L.; Fischer, R.
2023. eLife, 12. doi:10.7554/eLife.83310
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
The CoNIC Challenge Consortium; Graham, S.; Vu, Q. D.; Jahanifar, M.; Weigert, M.; Schmidt, U.; Zhang, W.; Zhang, J.; Yang, S.; Xiang, J.; Wang, X.; Rumberger, J. L.; Baumann, E.; Hirsch, P.; Liu, L.; Hong, C.; Aviles-Rivero, A. I.; Jain, A.; Ahn, H.; Hong, Y.; Azzuni, H.; Xu, M.; Yaqub, M.; Blache, M.-C.; Piégu, B.; Vernay, B.; Scherr, T.; Böhland, M.; Löffler, K.; Li, J.; Ying, W.; Wang, C.; Kainmueller, D.; Schönlieb, C.-B.; Liu, S.; Talsania, D.; Meda, Y.; Mishra, P.; Ridzuan, M.; Neumann, O.; Schilling, M. P.; Reischl, M.; Mikut, R.; Huang, B.; Chien, H.-C.; Wang, C.-P.; Lee, C.-Y.; Lin, H.-K.; Liu, Z.; Pan, X.; Han, C.; Cheng, J.; Dawood, M.; Deshpande, S.; Bashir, R. M. S.; Shephard, A.; Costa, P.; Nunes, J. D.; Campilho, A.; Cardoso, J. S.; Hrishikesh, P. S.; Puthussery, D.; Devika, R. G.; Jiji, C. V.; Zhang, Y.; Fang, Z.; Lin, Z.; Zhang, Y.; Lin, C.; Zhang, L.; Mao, L.; Wu, M.; Vo, V. T.-T.; Kim, S.-H.; Lee, T.; Kondo, S.; Kasai, S.; Dumbhare, P.; Phuse, V.; Dubey, Y.; Jamthikar, A.; Vuong, T. T. L.; Kwak, J. T.; Ziaei, D.; Jung, H.; Miao, T.; Snead, D.; Raza, S. E. A.; Minhas, F.; Rajpoot, N. M.
2023. arxiv. doi:10.48550/arXiv.2303.06274
Fast Whitespace Correction with Encoder-Only Transformers
Bast, H.; Hertel, M.; Walter, S.
2023. The 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations : ACL-DEMO 2023. Vol 3: Proceedings of the System Demonstrations, 389–399, Association for Computational Linguistics (ACL). doi:10.18653/v1/2023.acl-demo.37
Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging
Phipps, K.; Schwenk, K.; Briegel, B.; Mikut, R.; Hagenmeyer, V.
2023. IEEE Internet of Things Journal. doi:10.1109/JIOT.2023.3299201
Continuous Measurement of Individual Formaldehyde Exposure with a DIY Photometer
Petani, L.; Lorenz, M.; Pylatiuk, C.
2023. IEEE Sensors 2023
Dissolved ozone sensing in water and blood based on commercial screen-printed and BDD electrodes
Petani, L.; Llupa, L.; Peng, Z.; Ogata, G.; Koker, L.; Gengenbach, U.; Einaga, Y.; Pylatiuk, C.
2023. IEEE Biomedical Circuits ans Systems Conference (BioCAS), Institute of Electrical and Electronics Engineers (IEEE)
Can BioSAXS detect ultrastructural changes of antifungal compounds in Candida albicans?–an exploratory study
Hilpert, K.; Rumancev, C.; Gani, J.; Collis, D. W. P.; Lopez-Perez, P. M.; Garamus, V. M.; Mikut, R.; Rosenhahn, A.
2023. Frontiers in Pharmacology, 14, Art.-Nr.: 1141785. doi:10.3389/fphar.2023.1141785
Effect of Wiper Edge Geometry on Machining Performance While Turning AISI 1045 Steel in Dry Conditions Using the VIKOR-ML Approach
Abbas, A. T.; Sharma, N.; Soliman, M. S.; El Rayes, M. M.; Sharma, R. C.; Elkaseer, A.
2023. Machines, 11 (7), Art.-Nr.: 719. doi:10.3390/machines11070719
Endogenous learning for green hydrogen in a sector-coupled energy model for Europe
Zeyen, E.; Victoria, M.; Brown, T.
2023. Nature Communications, 14 (1), Art-Nr.: 3743. doi:10.1038/s41467-023-39397-2
Using Conditional Invertible Neural Networks To Perform Mid-Term Peak Load Forecasting
Heidrich, B.; Neumann, O.; Hertel, M.; Hagenmeyer, V.; Mikut, R.
2023. 43rd International Symposium On Forecasting (2023), Charlottesville, VA, USA, June 25–28, 2023
From Stationary to Flexible Plant Operation: Extension of a Co-Current Rotary Dryer Model for Energy Demand Flexibility
Schaßberger, J.; Hagenmeyer, V.; Gröll, L.
2023. International Conference on Process Control 2023
Design, simulation, and evaluation of a low-cost photometer for dissolved ozone measurement
Petani, L.; Tils, D.; Wührl, L.; Sieber, I.; Pylatiuk, C.
2023. IEEE International Conference on Microwaves, Communications, Antennas, Biomedical Engineering & Electronic Systems (COMCAS 2023) Tel Aviv, Israel, 06.11.2023–08.11.2023
Optimised inkjet-printing parameters and processing techniques for an exemplary structure of an oxygen sensor on a Polyimide substrate
Petani, L.; Schweizer, A.; Pylatiuk, C.; Stiller, P.; Gengenbach, U.; Ungerer, M.
2023. IEEE International Conference on Flexible, Printable Sensors and Systems (FLEPS 2023) Boston, MA, USA, 09.07.2023–12.07.2023
Evaluating ML-based IDS with Mimicry Attacks
Sanchez, G.; Mumrez, A.; Elbez, G.; Wressnegger, C.; Hagenmeyer, V.
2023. Community Congress by StartUpSecure 2023- Critical Infrasructure and CyberSecruity (2023), Karlsruher Institut für Technologie, May 11, 2023
CFC – Carbon Fibre Cycle Carbonfasern im Kreislauf – Freisetzungsverhalten und Toxizität bei thermischer und mechanischer Behandlung - Poster-Abstracts
Baumann, W.; Bäger, D.; Deußen, O.; Diabaté, S.; Ellermann, N.; Emmerich, R.; Friesen, A.; Fritsch-Decker, S.; Gehrmann, H.-J.; Gries, T.; Große, A.; Guth, J.; Hartwig, A.; Hauser, M.; Hofmann, M.; Hufnagel, M.; Kehren, D.; Krug, H. F.; Kühnel, D.; Leis, J.; Mahl, J.; Marquardt, C.; Mattern, A.; Merz, D.; Möller, N.; Nau, K.; Naumann, R.; Plitzko, S.; Schlögel, K.; Stapf, D.; Steinbach, C.; Weiss, C.; Wexler, M.
2023. CFC – Carbon Fibre Cycle Carbonfasern im Kreislauf – Freisetzungsverhalten und Toxizität bei thermischer und mechanischer Behandlung - Abschlussworkshop (2023), Karlsruhe, Germany, January 19–20, 2023
Deconstructing 3D Structured Materials by Modern Ultramicrotomy for Multimodal Imaging and Volume Analysis across Length Scales
Wacker, I.; Curticean, R.; Ryklin, D.; Weidinger, B.; Mayer, F.; Huang, L.-Y.; Hoffmann, J.; Islam, M.; von Coelln, N.; Schmitt, T.; Huck, C.; Tegeder, P.; Feist, F.; Kammerer, J. A.; Barner-Kowollik, C.; Wegener, M.; Blasco, E.; Gengenbach, U.; Schröder, R. R.
2023. Advanced Functional Materials, Art.-Nr.: 2302025. doi:10.1002/adfm.202302025
Application of CFD in Control-Oriented Modeling of a DTB’s Hydrodynamics
Schaßberger, J. M.; Gröll, L.
2023. IFAC-PapersOnLine, 55 (40), 55–60. doi:10.1016/j.ifacol.2023.01.048
Position Analysis of the Atomiser Unit of an Aerosol-on-Demand Jet-Printhead by means of Computational Fluid Dynamics
Ungerer, M.; Walter, T.; Sieber, I.
2023. Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH, 12th - 14th July 2023, Lisbon, Portugal, 126–133, SciTePress. doi:10.5220/0012131000003546
Exploring the Antibacterial Effects of Ozonated Oils in Medicine: A Study on Escherichia coli Inhibition
Petani, L.; Jung, A.-M.; Frietsch Musulin, R.-R.; Sturm, G.; Kaster, A.-K.; Pylatiuk, C.
2023. Ozone: Science & Engineering. doi:10.1080/01919512.2023.2233746
Brain Tumor Classification Using Hybrid Single Image Super-Resolution Technique with ResNext101_32x8d and VGG19 Pre-Trained Models
Mohsen, S.; Ali, A. M.; El-Rabaie, E.-S. M.; ElKaseer, A.; Scholz, S. G.; Hassan, A. M. A.
2023. IEEE Access, 11, 55582–55595. doi:10.1109/ACCESS.2023.3281529
Disruptive Events within the RESUR Project: Identification and Modeling – Helmholtz platform for the design of robust energy systems and their supply chains
Dickler, S.; Ardone, A.; Poganietz, W.-R.; Ross, A.; Weinand, J.; Zapp, P.; Shamon, H.; Rösch, C.; Haase, M.; Kraft, E.; Kebrich, S.; Kullmann, F.; Kleinebrahm, M.; Hoffmann, J.; Vögele, S.; Goerge, M.
2023. Helmholtz Energy Conference (2023), Koblenz, Germany, June 12–13, 2023
Charge controlled interactions between DNA-modified silica nanoparticles and fluorosurfactants in microfluidic water-in-oil droplets
Sheshachala, S.; Huber, B.; Schuetzke, J.; Mikut, R.; Scharnweber, T.; Domínguez, C. M.; Mutlu, H.; Niemeyer, C. M.
2023. Nanoscale Advances. doi:10.1039/D3NA00124E
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models
Meisenbacher, S.; Heidrich, B.; Martin, T.; Mikut, R.; Hagenmeyer, V.
2023. Proceedings of the 14th ACM International Conference on Future Energy Systems (e-Energy 2023), 386–414, Association for Computing Machinery (ACM). doi:10.1145/3575813.3597348
Automated Biodiversity Research
Shirali, H.; Wührl, L.; Klug, N.; Meier, R.; Pylatiuk, C.
2023. Helmholtz Imaging Conference (2023), Hamburg, Germany, June 14–16, 2023
Automating the design and operation of day-ahead photovoltaic power generation forecasts with AutoPV
Meisenbacher, S.; Mikut, R.; Heidrich, B.; Martin, T.; Hagenmeyer, V.
2023. Helmholtz Energy Conference (2023), Koblenz, Germany, June 12–13, 2023
SATOMI and EMSIG: The Power Couple for Analyzing Microbial Live-Cell Experiments
Yamachui Sitcheu, A. J.; Seiffarth, J.; Friederich, N.; Yildiz, E.; Scherr, T.; Neumann, O.; Wollenhaupt, B.; Scharr, H.; Nöh, K.; Kohlheyer, D.; Mikut, R.
2023. Helmholtz Imaging Conference (2023), Hamburg, Germany, June 14–16, 2023
Winning the Peak Shape and Peak Timing Tasks of the BIGDEAL Load Forecasting Challenge with Conditional Invertible Neural Networks
Neumann, O.; Heidrich, B.; Hertel, M.; Hagenmeyer, V.; Mikut, R.
2023. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2023), Hamburg, Germany, June 12–14, 2023
Electrical Load Forecasting with Transformer Neural Networks
Hertel, M.; Beichter, M.; Heidrich, B.; Neumann, O.; Ott, S. M.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2023. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2023), Hamburg, Germany, June 12–14, 2023
The Cell Tracking Challenge: 10 years of objective benchmarking
Maška, M.; Ulman, V.; Delgado-Rodriguez, P.; Gómez-de-Mariscal, E.; Nečasová, T.; Guerrero Peña, F. A.; Ren, T. I.; Meyerowitz, E. M.; Scherr, T.; Löffler, K.; Mikut, R.; Guo, T.; Wang, Y.; Allebach, J. P.; Bao, R.; Al-Shakarji, N. M.; Rahmon, G.; Toubal, I. E.; Palaniappan, K.; Lux, F.; Matula, P.; Sugawara, K.; Magnusson, K. E. G.; Aho, L.; Cohen, A. R.; Arbelle, A.; Ben-Haim, T.; Raviv, T. R.; Isensee, F.; Jäger, P. F.; Maier-Hein, K. H.; Zhu, Y.; Ederra, C.; Urbiola, A.; Meijering, E.; Cunha, A.; Muñoz-Barrutia, A.; Kozubek, M.; Ortiz-de-Solórzano, C.
2023. Nature Methods, 20, 1010–1020. doi:10.1038/s41592-023-01879-y
Enrichment of CityGML Models for Urban Building Energy Modeling
Geiger, A.; Häfele, K. H.
2023. Deutsches Zentrum für Luft- und Raumfahrt : DLR Seminar (2023), Online, June 15–16, 2023
Validating neural networks for spectroscopic classification on a universal synthetic dataset
Schuetzke, J.; Szymanski, N. J.; Reischl, M.
2023. npj Computational Materials, 9 (1), 100. doi:10.1038/s41524-023-01055-y
Repurposing FDA‐Approved Drugs for Temozolomide‐resistant IDH1 Mutant Glioma using High‐Throughput Miniaturized Screening on Droplet Microarray Chip
Cui, H.; Sun, X.; Schilling, M.; Herold-Mende, C.; Reischl, M.; Levkin, P. A.; Popova, A. A.; Turcan, Ş.
2023. Advanced Healthcare Materials. doi:10.1002/adhm.202300591
Early Attack Detection for Securing GOOSE Network Traffic
Elbez, G.; Nahrstedt, K.; Hagenmeyer, V.
2023. IEEE Transactions on Smart Grid. doi:10.1109/TSG.2023.3272749
Random fractal-enabled physical unclonable functions with dynamic AI authentication
Sun, N.; Chen, Z.; Wang, Y.; Wang, S.; Xie, Y.; Liu, Q.
2023. Nature Communications, 14, Article no: 2185. doi:10.1038/s41467-023-37588-5
Effects of Tool Edge Geometry and Cutting Conditions on the Performance Indicators in Dry Turning AISI 1045 Steel
Abbas, A. T.; El Rayes, M. M.; Al-Abduljabbar, A. A.; Ragab, A. E.; Benyahia, F.; Elkaseer, A.
2023. Machines, 11 (3), 397. doi:10.3390/machines11030397
Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking
Bruch, R.; Keller, F.; Böhland, M.; Vitacolonna, M.; Klinger, L.; Rudolf, R.; Reischl, M.
2023. PLOS ONE, 18 (3), Article no: e0283828. doi:10.1371/journal.pone.0283828
Automated high-throughput image processing as part of the screening platform for personalized oncology
Schilling, M. P.; El Khaled El Faraj, R.; Urrutia Gómez, J. E.; Sonnentag, S. J.; Wang, F.; Nestler, B.; Orian-Rousseau, V.; Popova, A. A.; Levkin, P. A.; Reischl, M.
2023. Scientific Reports, 13, Article no: 5107. doi:10.1038/s41598-023-32144-z
Non-Sequential Machine Learning Pipelines with pyWATTS
Heidrich, B.; Phipps, K.; Meisenbacher, S.; Turowski, M.; Neumann, O.; Mikut, R.; Hagenmeyer, V.
2023. Zenodo. doi:10.5281/zenodo.7740850
Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision
Poppenborg, R.; Chlosta, M.; Ruf, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2023. Energies, 16 (6), Art.-Nr.: 2720. doi:10.3390/en16062720
Vapour polishing of fused deposition modelling (FDM) parts: a critical review of different techniques, and subsequent surface finish and mechanical properties of the post-processed 3D-printed parts
Mathew, A.; Kishore, S. R.; Tomy, A. T.; Sugavaneswaran, M.; Scholz, S. G.; Elkaseer, A.; Wilson, V. H.; John Rajan, A.
2023. Progress in Additive Manufacturing. doi:10.1007/s40964-022-00391-7
Temperature-based quality analysis in ultrasonic welding of copper sheets with microstructural joint evaluation and machine learning methods
Schwarz, E. B.; Bleier, F.; Guenter, F.; Mikut, R.; Bergmann, J. P.
2023. Welding in the World, 67, 1437–1448. doi:10.1007/s40194-023-01463-0
CFC – Carbon Fibre Cycle Carbonfasern im Kreislauf – Freisetzungsverhalten und Toxizität bei thermischer und mechanischer Behandlung - Poster-Abstracts
Baumann, W.; Bäger, D.; Deußen, O.; Diabaté, S.; Ellermann, N.; Emmerich, R.; Friesen, A.; Fritsch-Decker, S.; Gehrmann, H. J.; Gries, T.; Große, A.; Guth, J.; Hartwig, A.; Hauser, M.; Hofmann, M.; Hufnagel, M.; Kehren, D.; Krug, H. F.; Kühnel, D.; Leis, J.; Mahl, J.; Marquardt, C.; Mattern, A.; Merz, D.; Möller, N.; Nau, K.; Naumann, R.; Plitzko, S.; Schlögel, K.; Stapf, D.; Steinbach, C.; Weiss, C.; Wexler, M.
2023
Simulation in Additive Manufacturing and Its Implications for Sustainable Manufacturing in the Era of Industry 4.0
Charles, A.; Bayat, M.; Elkaseer, A.; Scholz, S.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 370–377, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_36
Multi-parameter Analysis for High-Precision Inkjet Printing
Elkaseer, A.; Kuchta, M.; Rees, A.; Scholz, S. G.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 378–387, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_37
Introduction and Evaluation of a Project Management Software Tool in the Context of the Administration of Science and Research Projects
Lauth, E.; Scholz, S. G.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 11–20, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_2
Impact of Additive Manufacturing on Supply Chains
Lauth, E.; Scholz, S. G.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 1–10, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_1
Digital, Scalable Manufacturing - A Sustainable Production Scenario Using Collaborative Robotics and Additive Manufacturing
Müller, T.; Schmidt, A.; Scholz, S.; Hagenmeyer, V.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing (SDM 2022). Ed.: S. Scholz, 262–271, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_25
Multi-Objective Optimization of Performance Indicators in Turning of AISI 1045 under Dry Cutting Conditions
Abbas, A. T.; Al-Abduljabbar, A. A.; El Rayes, M. M.; Benyahia, F.; Abdelgaliel, I. H.; Elkaseer, A.
2023. Metals, 13 (1), 96. doi:10.3390/met13010096
Investigation of a simplified photometer design for the measurement of ozone gas concentration
Petani, L.; Barth, R.; Wührl, L.; Sieber, I.; Koker, L.; Reischl, M.; Gengenbach, U.; Pylatiuk, C.
2023. 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 94–99, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IECBES54088.2022.10079356
A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies
Schweikert, J.; Stucky, K.-U.; Süß, W.; Hagenmeyer, V.
2023. Energies, 16 (3), Art.-Nr.: 1444. doi:10.3390/en16031444
Assessing the combination of differential flatness and deterministic automata for controllable hybrid systems
Zahn, F.; Kleinert, T.; Hagenmeyer, V.
2023. 2022 IEEE 61st Conference on Decision and Control (CDC), 2612–2619, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC51059.2022.9993043
Automation of section acquisition for Array Tomography. PhD dissertation
Hoffmann, J.
2023. Karlsruher Institut für Technologie (KIT)
Noise facilitates entrainment of a population of uncoupled limit cycle oscillators
Kumpost, V.; Hilbert, L.; Mikut, R.
2023. Journal of The Royal Society Interface, 20 (198), Art.-Nr.: 20220781. doi:10.1098/rsif.2022.0781
Multi-Day Stochastic Scheduling of Electric Vehicle Charging for Reliability and Convenience
Schwenk, K.; Hagenmeyer, V.; Mikut, R.
2023. IEEE Vehicle Power and Propulsion Conference (VPPC), Merced, California, USA, 1st - 4th November 2022, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VPPC55846.2022.10003402
Development of a Database for the Management and Use of Available Resources in the Field of Sustainable Nanomanufacturing
Marquardt, C.; Scholz, S. G.; Nau, K.; Schmidt, A.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing, SDM 2022, 14th - 16th September 2022. Ed.: S. Scholz, 232–241, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_22
An Approach for Sustainable Knowledge Management and Policy Upstreaming for Industry4.0 in Central Europe
Marquardt, C.; Charles, A. P.; Scholz, S. G.
2023. Sustainable Design and Manufacturing – Proceedings of the 9th International Conference on Sustainable Design and Manufacturing, SDM 2022, 14th - 16th September 2022. Ed.: S. Scholz, 242–251, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_23
Knowledge Base Materials Sustainable Science Communication on Advanced Materials
Nau, K.; Espinoza, S.; Krug, H. F.; Marquardt, C.; Mattern, A.; Möller, N.; Steinbach, C.; Kühnel, D.
2023. Sustainable Design and Manufacturing. Ed.: S. G. Scholz, 33–42, Springer Nature Singapore. doi:10.1007/978-981-19-9205-6_4
Analytical uncertainty propagation for multi-period stochastic optimal power flow
Bauer, R.; Mühlpfordt, T.; Ludwig, N.; Hagenmeyer, V.
2023. Sustainable Energy, Grids and Networks, 33, Art.-Nr.: 100969. doi:10.1016/j.segan.2022.100969
A Hybrid Learning-Driven Computer Vision Framework for Reverse Engineering via Enhanced 3D Shape Reconstruction
Salem, M.; Elkaseer, A.; Rees, A.; Scholz, S. G.
2023. Proceedings of the Future Technologies Conference (FTC) 2022, Volume 2, 848–861, Springer International Publishing. doi:10.1007/978-3-031-18458-1_58
Critical Assessment of Current State of the Art in Wearable Sensor Nodes with Energy Harvesting Systems for Healthcare Applications
Alattar, A. E.; Elkaseer, A.; Scholz, S.; Mohsen, S.
2023. Proceedings of the Future Technologies Conference (FTC) 2022. Vol.: 3. Ed.: K. Arai, 398–412, Springer International Publishing. doi:10.1007/978-3-031-18344-7_27
Probabilistic load forecasting using post-processed weather ensemble predictions
Ludwig, N.; Arora, S.; Taylor, J. W.
2023. Journal of the Operational Research Society, 74 (3), 1008–1020. doi:10.1080/01605682.2022.2115411
Light-Field Camera Based Spatial Multiple Small Particle Tracking with Post-processing
Zhang, M.; Matthes, J.; Aleksandrov, K.; Gehrmann, H.-J.; Vogelbacher, M.
2023. Advances in Automation, Mechanical and Design Engineering – SAMDE 2021. Ed.: M. Laribi, 95–123, Springer International Publishing. doi:10.1007/978-3-031-09909-0_8
Stability Criteria for Time-Delay Systems from an Insightful Perspective on the Characteristic Equation
Scholl, T. H.; Gröll, L.
2023. IEEE Transactions on Automatic Control, 68 (4), 2352–2359. doi:10.1109/TAC.2022.3174001
2022
Hardware-in-the-loop platforms for the automation and control of future energy systems
Bretschneider, P.; Mikut, R.; Hagenmeyer, V.
2022. at - Automatisierungstechnik, 70 (12), 1031–1033. doi:10.1515/auto-2022-0145
Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and Now
Schutera, M.; Rettenberger, L.; Reischl, M.
2022. Zebrafish, 19 (6), 213–217. doi:10.1089/zeb.2022.0027
Multi-Zone Grey-Box Thermal Building Identification with Real Occupants
Frahm, M.; Meisenbacher, S.; Klumpp, E.; Mikut, R.; Matthes, J.; Hagenmeyer, V.
2022. Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, MA, USA, 09.11.2022-10.11.2022. Ed.: J. Ortiz, 484–487, Association for Computing Machinery (ACM). doi:10.1145/3563357.3567403
Guidance on Versioning of Digital Assets
Buttigieg, P. L.; Cristiano, L.; Curdt, C.; Ishan, A. Z.; Jejkal, T.; Koch, C.; Mannix, O.; Mohr, D. P.; Pirogov, A.; Stucky, K. U.; Helmholtz Metadata Collaboration (HMC)
2022. (S. Lorenz, A. Finke, C. Langenbach, K. Maier-Hein, S. Sandfeld & R. Stotzka, Eds.), GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel. doi:10.3289/HMC_publ_04
EasyMLServe: Easy Development of REST Machine Learning Services
Neumann, O.; Schilling, M.; Reischl, M.; Mikut, R.
2022, December. 32. Workshop Computational Intelligence (2022), Berlin, Germany, December 1–2, 2022
A Highspeed‐Camera Based Measurement System for the High‐Pressure Entrained‐Flow Gasification
Matthes, J.; Kollmer, M.; Eberhard, M.; Hagenmeyer, V.; Kolb, T.
2022. Chemical Engineering & Technology, 45 (12), 2313–2322. doi:10.1002/ceat.202200434
Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy
Matuszewska-Iwanicka, A.; Stratmann, B.; Stachs, O.; Allgeier, S.; Bartschat, A.; Winter, K.; Guthoff, R.; Tschoepe, D.; Hettlich, H.-J.
2022. Ophthalmology and Therapy, 11 (6), 2211–2223. doi:10.1007/s40123-022-00574-z
Review of automated time series forecasting pipelines
Meisenbacher, S.; Turowski, M.; Phipps, K.; Rätz, M.; Müller, D.; Hagenmeyer, V.; Mikut, R.
2022. WIREs Data Mining and Knowledge Discovery, 12 (6), Art.Nr. e1475. doi:10.1002/widm.1475
Spatial heterogeneity of air pollution statistics in Europe
He, H.; Schäfer, B.; Beck, C.
2022. Scientific Reports, 12 (1), Artikel-Nr.: 12215. doi:10.1038/s41598-022-16109-2
Machine learning approach towards explaining water quality dynamics in an urbanised river
Schäfer, B.; Beck, C.; Rhys, H.; Soteriou, H.; Jennings, P.; Beechey, A.; Heppell, C. M.
2022. Scientific Reports, 12 (1), Art.-Nr.: 12346. doi:10.1038/s41598-022-16342-9
Droplet Microarray as a Powerful Platform for Seeking New Antibiotics Against Multidrug‐Resistant Bacteria
Lei, W.; Deckers, A.; Luchena, C.; Popova, A.; Reischl, M.; Jung, N.; Bräse, S.; Schwartz, T.; Krimmelbein, I. K.; Tietze, L. F.; Levkin, P. A.
2022. Advanced Biology, 6 (12), Art.-Nr.: 2200166. doi:10.1002/adbi.202200166
In silico identification of two peptides with antibacterial activity against multidrug-resistant Staphylococcus aureus
Oyama, L. B.; Olleik, H.; Teixeira, A. C. N.; Guidini, M. M.; Pickup, J. A.; Hui, B. Y. P.; Vidal, N.; Cookson, A. R.; Vallin, H.; Wilkinson, T.; Bazzolli, D. M. S.; Richards, J.; Wootton, M.; Mikut, R.; Hilpert, K.; Maresca, M.; Perrier, J.; Hess, M.; Mantovani, H. C.; Fernandez-Fuentes, N.; Creevey, C. J.; Huws, S. A.
2022. npj Biofilms and Microbiomes, 8 (1), Artikel-Nr.: 58. doi:10.1038/s41522-022-00320-0
A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure
Schilling, M.; Neumann, O.; Scherr, T.; Cui, H.; Popova, A. A.; Levkin, P. A.; Götz, M.; Reischl, M.
2022. Proceedings of the 7th bwHPC Symposium, 69–74, Kommunikations- und Informationszentrum (kiz). doi:10.18725/OPARU-46069
Characterization of the pace-and-drive capacity of the human sinoatrial node: A 3D in silico study
Amsaleg, A.; Sánchez, J.; Mikut, R.; Loewe, A.
2022. Biophysical Journal, 121 (22), 4247–4259. doi:10.1016/j.bpj.2022.10.020
Striatal encoding of action sequences in normal and hyperactive rats
Tahary, O.; Löffler, K.; Belelovsky, K.; Bar-Gad, I.
2022, November 12. Society for Neuroscience / Annual Meeting (2022), San Diego, CA, USA, November 12–16, 2022
Dealing with Uncertainty in Future Power Distribution Grid with Reinforcement Learning
Demirel, G.
2022, November 11. International Workshop "Challenges and Opportunities in Modern European Power Systems" (2022), Belfast, United Kingdom, November 10–11, 2022
Helmholtz Metadata Collaboration (HMC) - FAIr Metadata for Energy = FAIRe Metadaten für die Energieforschung
Suess, W.; Schweikert, J.; Stucky, K.-U.; Koubaa, M. A.; Steinmeier, L.; Ballani, F.; Hoyer-Klick, C.
2022, November 8. 6. Jahrestreffen des Forschungsnetzwerks Energiesystemanalyse (2022), Berlin, Germany, November 8–9, 2022
Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN
Zhai, J.; Dai, X.; Jiang, Y.; Xue, Y.; Hagenmeyer, V.; Jones, C. N.; Zhang, X.-P.
2022. IEEE Transactions on Power Systems, 37 (6), 4861–4873. doi:10.1109/TPWRS.2022.3155866
Material jetting for advanced applications: A state-of-the-art review, gaps and future directions
Elkaseer, A.; Chen, K. J.; Janhsen, J. C.; Refle, O.; Hagenmeyer, V.; Scholz, S. G.
2022. Additive Manufacturing, 60 (Part A), Art.-Nr.: 103270. doi:10.1016/j.addma.2022.103270
Gas-tight means zero defects - design considerations for thin-walled fluidic devices with overhangs by laser powder bed fusion
Grinschek, F.; Charles, A.; Elkaseer, A.; Klahn, C.; Scholz, S. G.; Dittmeyer, R.
2022. Materials & Design, 223, 111174. doi:10.1016/j.matdes.2022.111174
Secondary control activation analysed and predicted with explainable AI
Kruse, J.; Schäfer, B.; Witthaut, D.
2022. Electric Power Systems Research, 212, Art.-Nr.: 108489. doi:10.1016/j.epsr.2022.108489
Data for - Tracking one in a million: Performance of automated tracking on a large-scale microbial data set (1.0.0) [Data set]
Seiffarth, J.; Blöbaum, L.; Löffler, K.; Scherr, T.; Grünberger, A.; Scharr, H.; Mikut R.; Nöh, K.
2022, October 28. doi:10.5281/zenodo.7260137
Robotic systems for decontamination in hazardous environments : To boldly go where many still work today
Petereit, J.; Bretthauer, G.; Beyerer, J.
2022. at - Automatisierungstechnik, 70 (10), 823–825. doi:10.1515/auto-2022-0121
Knowledge Discovery and Information Retrieval using the Shell
Schmidt, A.
2022, October 24. 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022), Valetta, Malta, October 24–26, 2022
New Work - Erfahrungen der Piloten - PIlotprojekt von IAI
Zahn, F.
2022. (I. Hartmann-Dietsch & M. Landgraf, Eds.)
An Optimization-based Approach for Automated Generation of Residential Low-Voltage Grid Models Using Open Data and Open Source Software
Cakmak, H. K.; Janecke, L.; Weber, M.; Hagenmeyer, V.
2022. 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe54678.2022.9960483
Transformation-optics modeling of 3D-printed freeform waveguides
Nesic, A.; Blaicher, M.; Orlandini, E.; Olariu, T.; Paszkiewicz, M.; Negredo, F.; Kraft, P.; Sukhova, M.; Hofmann, A.; Dörfler, W.; Rockstuhl, C.; Freude, W.; Koos, C.
2022. Optics Express, 30 (21), 38856–38879. doi:10.1364/OE.452243
Use Cases and Tools in HMC Hub Energy
Süß, W.; Stucky, K. U.; Schweikert, J.; Koubaa, M. A.; Ballani, F.; Steinmeier, L.
2022, October 10. doi:10.5281/zenodo.7180896
Use Cases in HMC - from Generation to Reuse of Data
Günther, G.; Schweikert, J.; Mannix, O.; Süß, W.
2022, October 6. doi:10.5281/zenodo.7157694
An adaptive filtering algorithm in pulse-Doppler radar for counteracting range-velocity jamming
Abdalla, A.; Ramadan, M.; Liao, Y.; Zhou, S.
2022. International Journal of Electronics, 109 (10), 1695–1713. doi:10.1080/00207217.2021.2001850
Broadband Jamming Suppression at Subarray Level for Frequency Diverse Array Antenna
Ramadan, M.; Raza, S.
2022. 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 231–237, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SITIS57111.2022.00049
Combining Miniaturized Chemical Synthesis with Biochemical Screeing for High-Throughput Discovery
Wiedmann, J. J.; Maier, T. C.; Schmidt, S.; Benz, M.; Schilling, M.; Czech, J.; Bärenz, F.; Mors, H.; Reischl, M.; Hopf, C.; Levkin, P. A.
2022, October. Drug Discovery (ELRIG 2022), London, United Kingdom, October 4–5, 2022
Utilizing static corneal landmarks to assess dynamic corneal nerve changes by in vivo large-area confocal microscopy
Bohn, S.; Stache, N.; Sterenczak, K. A.; Sperlich, K.; Allgeier, S.; Köhler, B.; Mikut, R.; Bartschat, A.; Reichert, K.-M.; Guthoff, R. F.; Stachs, O.
2022, September 29. 120. Deutsche Ophthalmologische Gesellschaft e.V.: Kongress (DOG-Kongress 2022), Berlin, Germany, September 29–October 2, 2022
Volume registration of in vivo confocal microscopy datasets of the human cornea - a comparison of two novel approaches
Allgeier, S.; Bohn, S.; Kornelius, L.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stachs, O.; Köhler, B.
2022, September 28. 14th Joint Annual Conference of the Austrian (ÖGBMT), German (VDE DGBMT) and Swiss (SSBE) Societies for Biomedical Engineering (BMT 2022), Innsbruck, Austria, September 28–30, 2022
Predicting the power grid frequency of European islands
Lund Onsaker, T.; Nygård, H. S.; Gomila, D.; Colet, P.; Mikut, R.; Jumar, R.; Kühnapfel, U.; Maass, H.; Hagenmeyer, V.; Witthaut, D.; Schäfer, B.
2022, September 27. doi:10.48550/arXiv.2209.15414
Droplet Microarray Based Screening Identifies Proteins for Maintaining Pluripotency of hiPSCs
Liu, Y.; Bertels, S.; Reischl, M.; Peravali, R.; Bastmeyer, M.; Popova, A. A.; Levkin, P. A.
2022. Advanced Healthcare Materials, 11 (18), Art.-Nr.: 2200718. doi:10.1002/adhm.202200718
On the Assessment of the Effect of Multiple Process Parameters on the Precision of 3D Inkjet Printing
Elkaseer, A.; Kuchta, M.; Scholz, S. G.
2022. Proceedings of the World Congress on Micro and Nano Manufacturing, 19-22 September 2022, Leuven, Belgium. Ed.: S. Castagne, 126–131, Research Publishing. doi:10.3850/978-981-18-5180-3_RP26-0069
Knowledge Base Materials : Sustainable science communication on advanced materials
Nau, K.
2022, September 15. 9th International Conference on Sustainable Design and Manufacturing (KES SDM-22 2022), Split, Croatia, September 14–16, 2022
An approach for sustainable knowledge management & policy upstreaming for Industry4.0 in Central Europe
Marquardt, C.
2022, September 15. 9th International Conference on Sustainable Design and Manufacturing (KES SDM-22 2022), Split, Croatia, September 14–16, 2022
Development of a Database for the Management and Use of available Resources in the Field of Sustainable Nanomanufacturing
Marquardt, C.
2022, September 15. 9th International Conference on Sustainable Design and Manufacturing (KES SDM-22 2022), Split, Croatia, September 14–16, 2022
Digital, Scalable Manufacturing - A Sustainable Production Scenario Using Collaborative Robotics and Additive Manufacturing
Müller, T.; Schmidt, A.; Scholz, S.; Hagenmeyer, V.
2022, September 14. 9th International Conference on Sustainable Design and Manufacturing (KES SDM-22 2022), Split, Croatia, September 14–16, 2022
A Look-ahead Towards 6G Security (Abstract)
Ramadan, M.; Raza, S.
2022. 2022 International Conference on Cyberworlds (CW), 259–260, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CW55638.2022.00058
Abstractband DOG 2022; Utilizing static corneal landmarks to assess dynamic corneal nerve changes by in vivo large-area confocal microscopy
Bohn, S.; Stache, N.; Sterenczak, K. A.; Sperlich, K.; Allgeier, S.; Köhler, B.; Mikut, R.; Bartschat, A.; Reichert, K.-M.; Guthoff, R., F.; Stachs, O.
2022. Die Ophthalmologie, 119 (S3), 157–344. doi:10.1007/s00347-022-01723-2
Normics: Proteomic Normalization by Variance and Data-Inherent Correlation Structure
Dressler, F. F.; Brägelmann, J.; Reischl, M.; Perner, S.
2022. Molecular & Cellular Proteomics, 21 (9), Article no: 100269. doi:10.1016/j.mcpro.2022.100269
A Critical Review of Neural Networks for the Use with Spectroscopic Data
Schuetzke, J.; Szymanski, N. J.; Ceder, G.; Reischl, M.
2022, August 24. 33rd European Crystallographic Meeting (ECM 2022), Versailles, France, August 23–27, 2022
An interpretation of the FAIR principles to guide implementations in the HMC digital ecosystem
Helmholtz Metadata Collaboration (HMC); Buttigieg, P. L.; Curdt, C.; Ishan, A. Z.; Jejkal, T.; Kubin, M.; Mannix, O.; Mohr, D. P.; Pirogov, A.; Port, B.; Stucky, K.-U.
2022. (S. Lorenz, Ed.), GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel. doi:10.3289/HMC_publ_01
Scale aware modeling and monitoring of the urban energy chain. PhD dissertation
Nichersu, A.
2022, August 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000149384
Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision
Poppenborg, R.; Chlosta, M.; Ruf, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), 33–41, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889751
Prediction of Fluorescent Ki67 Staining in 3D Tumor Spheroids
Bruch, R.; Vitacolonna, M.; Rudolf, R.; Reischl, M.
2022. Current Directions in Biomedical Engineering, 8 (2), 305–308. doi:10.1515/cdbme-2022-1078
Annotation Efforts in Image Segmentation can be Reduced by Neural Network Bootstrapping
Rettenberger, L.; Schilling, M.; Reischl, M.
2022. Current Directions in Biomedical Engineering, 8 (2), 329–332. doi:10.1515/cdbme-2022-1084
Impact of Annotation Noise on Histopathology Nucleus Segmentation
Schilling, M. P.; Ahuja, N.; Rettenberger, L.; Scherr, T.; Reischl, M.
2022. Current Directions in Biomedical Engineering, 8 (2), 197–200. doi:10.1515/cdbme-2022-1051
DiversityScanner 4K: A High Resolution Extended Focus Camera Setup as Extension for the DiversityScanner
Wührl, L.; Pylatiuk, C.; Giersch, M.; Meier, R.
2022, July 27. HEN­NIGXXXIX (2022), Helsinki, Finland, July 24–28, 2022
PROOF - Process Orchestration Framework, ICT Platform for Energy System Research
Liu, J.; Schlachter, T.
2022, July 21. Exkursion des Instituts für Automation und angewandte Informatik (2022), Karlsruher Institut für Technologie, July 20–21, 2022
How automation, machine learning, and DNA barcoding can accelerate species discovery in “dark taxa”: Robotics and AI
Wührl, L.; Pylatiuk, C.; Rettenberger, L.; Meier, R.
2022, July 19. 26th International Congress of Entomology (2022), Helsinki, Finland, July 17–22, 2022
Automated machine learning for time series forecasting in smart grid applications
Meisenbacher, S.
2022, July 14. Jahrestagung des KIT-Zentrums Energie (2022), Karlsruhe, Germany, July 14–15, 2022
Ratio-based features for bridge damage detection based on displacement influence line and curvature influence line
Döring, A.; Vogelbacher, M.; Schneider, O.; Müller, J.; Hinz, S.; Matthes, J.
2022. Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability, CRC Press
Science Communication and Research Infrastructures in nanotechnology - current activities from the DaNa Project and the KNMFi
Marquardt, C.; Costa, A.
2022, July 5. Sustainable Nanofabrication Joint Networking Event (SUSNANOFAB 2022), Braga, Portugal, July 5–7, 2022
A guideline to document occupant behavior models for advanced building controls
Dong, B.; Markovic, R.; Carlucci, S.; Liu, Y.; Wagner, A.; Liguori, A.; van Treeck, C.; Oleynikov, D.; Azar, E.; Fajilla, G.; Drgoňa, J.; Kim, J.; Vellei, M.; De Simone, M.; Shamsaiee, M.; Bavaresco, M.; Favero, M.; Kjaergaard, M.; Osman, M.; Frahm, M.; Dabirian, S.; Yan, D.; Kang, X.
2022. Building and Environment, 219, Art.-Nr.: 109195. doi:10.1016/j.buildenv.2022.109195
Distributed Control of Charging for Electric Vehicle Fleets Under Dynamic Transformer Ratings
Botkin-Levy, M.; Engelmann, A.; Muhlpfordt, T.; Faulwasser, T.; Almassalkhi, M. R.
2022. IEEE Transactions on Control Systems Technology, 30 (4), 1578–1594. doi:10.1109/TCST.2021.3120494
High-resolution real-world electricity data from three microgrids in the global south
Luh, M.; Phipps, K.; Britto, A.; Wolf, M.; Lutz, M.; Kraft, J.
2022. e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 496–514, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539763
Modelling power systems as flat hybrid automata for controlled line switching
Zahn, F.; Hagenmeyer, V.
2022. e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 302–306, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538859
Towards line-restricted dispatchable feeders using probabilistic forecasts for PV-dominated low-voltage distribution grids
Werling, D.; Heidrich, B.; Çakmak, H. K.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 395–400, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538868
Analytical uncertainty propagation and storage usage in a high RES Turkish transmission grid scenario
Bauer, R.; Mühlpfordt, T.; Ludwig, N.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 489–495, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539762
Enhancing anomaly detection methods for energy time series using latent space data representations
Turowski, M.; Heidrich, B.; Phipps, K.; Schmieder, K.; Neumann, O.; Mikut, R.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 208–227, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538851
Adaptively coping with concept drifts in energy time series forecasting using profiles
Heidrich, B.; Ludwig, N.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 459–470, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539759
Occupant-oriented economic model predictive control for demand response in buildings
Frahm, M.; Zwickel, P.; Wachter, J.; Langner, F.; Strauch, P.; Matthes, J.; Hagenmeyer, V.
2022. e-Energy ’22: Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 354–360, Association for Computing Machinery (ACM). doi:10.1145/3538637.3538864
Herrn Prof. Dr.-Ing. Frank Allgöwer zum 60. Geburtstag
Bretthauer, G.
2022. at - Automatisierungstechnik, 70 (6), 599–600. doi:10.1515/auto-2022-0067
Wandlungsfähige Produktion für die Kreislaufwirtschaft
Beyerer, J.; Bretthauer, G.; Hofmann, C.; Lanza, G.
2022. at - Automatisierungstechnik, 70 (6), 501–503. doi:10.1515/auto-2022-0063
Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; Carne, G.
2022, June 26. 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG 2022), Kiel, Germany, June 26–29, 2022
The DaNa4.0 web-based Knowledge Base Materials – 13 years on reliable risk communication on (nano)materials safety
Nau, K.; Kühnel, D.; Krug, H. F.; Marquardt, C.; Mattern, A.; Möller, N.; Steinbach, C.
2022, June 21. NanoWeek and NanoCommons Final Conference “Evolution of Nanosafety and materials sustainability as we transition into Horizon Europe” (2022), Limassol, Cyprus, June 20–24, 2022
A common PID Kernel Information Profile for the German Helmholtz Association of Research Centres
Jejkal, T.; Pfeil, A.; Schweikert, J.; Pirogov, A.; Barranco, P. V.; Krebs, F.; Koch, C.; Günther, G.; Curdt, C.; Weinelt, M.
2022, June 21. 19th International Data Week : A Festival of Data / Plenary meeting (RDA 2022), Seoul, South Korea, June 20–23, 2022
A Purely Visual Re-ID Approach for Bumblebees (Bombus terrestris)
Tausch, F.; Borlinghaus, P.; Rettenberger, L.; Reischl, M.
2022, June 19. IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, June 19–24, 2022
FlexKälte: Flexibilisierung vorhandener Kälteanlagen und deren optimierter Einsatz
Dengiz, T.; Frahm, M.; Hofacker, W.; Maaß, H.; Wilferth, M.; Wölfle, D.
2022, June 9. 3. Kongress ENERGIEWENDEBAUEN (2022), Wuppertal, Germany, June 9–10, 2022
Automating Time Series Analysis Workflows with pyWATTS
Heidrich, B.; Phipps, K.; Neumann, O.; Meisenbacher, S.; Turowski, M.; Mikut, R.; Hagenmeyer, V.
2022, June. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2022), Dresden, Germany, June 2–3, 2022
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Quintana, M.; Stoeckmann, T.; Park, J. Y.; Turowski, M.; Hagenmeyer, V.; Miller, C.
2022. Energy and Buildings, 265, Art.-Nr.: 112096. doi:10.1016/j.enbuild.2022.112096
ObiWan-Microbi and microbeSEG: Deep Learning Tools for Microbial Image Analysis
Neumann, O.; Seiffarth, J.; Scherr, T.; Wollenhaupt, B.; Scharr, H.; Kohlheyer, D.; Nöh, K.; Mikut, R.
2022, May 31. Helmholtz Imaging Conference (HIP 2022), Berlin, Germany, May 31–June 1, 2022
On the Detection of Cyber-Attacks in the Communication Network of IEC 61850 Electrical Substations. PhD dissertation
Elbez, G.
2022, May 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000146668
Herrn Prof. Henning Tolle zum 90. Geburtstag
Adamy, J.; Bretthauer, G.
2022. at - Automatisierungstechnik, 70 (5), 498–500. doi:10.1515/auto-2022-0055
Domain-Invariant Representation Learning from EEG with Private Encoders
Bethge, D.; Hallgarten, P.; Grosse-Puppendahl, T.; Kari, M.; Mikut, R.; Schmidt, A.; Ozdenizci, O.
2022. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 23-27 May 2022, 1236–1240, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICASSP43922.2022.9747398
High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Luh, M.; Phipps, K.; Britto, A.; Wolf, M.; Lutz, M.; Kraft, J.
2022, May 23. doi:10.5445/IR/1000143466
From Ctrl-F to Information Retrieval : An Excursion into the World of Searching in Text
Schmidt, A.
2022, May 22. 14th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2022), Venice, Italy, May 22–26, 2022
Comparison of Experiment Tracking Frameworks in Machine Learning Environments
Budras, T.; Blanck, M.; Berger, T.; Schmidt, A.
2022. 14th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2022), Venice, I, May 22-26, 2022. Ed.: M. Crowe, International Academy, Research, and Industry Association (IARIA)
James Bond and the DaNa4 knowledge base: Why reliable science communication of nanomaterials and advanced materials is crucial
Mattern, A.; Kühnel, D.; Steinbach, C.; Espinoza, S.; Krug, H. F.; Marquardt, C.; Nau, K.
2022, May 16. 32nd Society of Environmental Toxicology and Chemistry Europe : Annual Meeting (SETAC Europe 2022), Copenhagen, Denmark, May 15–19, 2022
Hybrid Intrusion Detection System for Smart Grids
Mumrez, A.; Khosravi, H.; Elbez, G.; Hagenmeyer, V.
2022, May 4. 1st CyberSecurity in Energy and Production Conference (2022), Karlsruhe, Germany, May 4, 2022
Preliminary study for an alarm correlation framework based on risk assessment in IEC 61850 substations
Canbolat, S.; Elbez, G.; Hagenmeyer, V.
2022, May 4. 1st CyberSecurity in Energy and Production Conference (2022), Karlsruhe, Germany, May 4, 2022
Binary Exploitation in Industrial Control Systems: Past, Present and Future
Liu, Q.; Bao, K.; Hagenmeyer, V.
2022. IEEE Access, 10, 48242–48273. doi:10.1109/ACCESS.2022.3171922
Material matters: predicting the core hardness variance in industrialized case hardening of 18CrNi8 [Vorhersage der Kernhärtenvarianz von industriell einsatzgehärtetem 18CrNi8]
Lingelbach, Y.; Waldenmaier, T.; Hagymasi, L.; Mikut, R.; Schulze, V.
2022. Materialwissenschaft und Werkstofftechnik, 53 (5), 576–589. doi:10.1002/mawe.202100249
A framework for participation of prosumers in peer-to-peer energy trading and flexibility markets
Khorasany, M.; Shokri Gazafroudi, A.; Razzaghi, R.; Morstyn, T.; Shafie-khah, M.
2022. Applied Energy, 314, Art.-Nr.: 118907. doi:10.1016/j.apenergy.2022.118907
Improving process monitoring of ultrasonic metal welding using classical machine learning methods and process-informed time series evaluation
Schwarz, E. B.; Bleier, F.; Guenter, F.; Mikut, R.; Bergmann, J. P.
2022. Journal of Manufacturing Processes, 77, 54–62. doi:10.1016/j.jmapro.2022.02.057
DiversityScanner: Robotic handling of small invertebrates with machine learning methods
Wührl, L.; Pylatiuk, C.; Giersch, M.; Lapp, F.; Rintelen, T.; Balke, M.; Schmidt, S.; Cerretti, P.; Meier, R.
2022. Molecular ecology resources, 22 (4), 1626–1638. doi:10.1111/1755-0998.13567
Topology-based approximations for contingency constraints in power transmission networks
Shokri Gazafroudi, A.; Neumann, F.; Brown, T.
2022. International journal of electrical power & energy systems, 137, Art.-Nr.: 107702. doi:10.1016/j.ijepes.2021.107702
microbeSEG dataset (1.0) [Data set]
Scherr, T.; Seiffarth, J.; Wollenhaupt, B.; Neumann, O.; Schilling, M.; Kohlheyer, D.; Scharr, H.; Mikut, R.; Nöh, K.
2022, April 28. doi:10.5281/zenodo.6497715
Sector Coupling Between Buildings and Energy System
Hagenmeyer, V.
2022, April 28. Lecture Series Enabling Net Zero (2022), Karlsruher Institut für Technologie, April 28–July 28, 2022
Data Science für die Gesundheitsforschung und Industrie 4.0
Mikut, R.
2022, April 28. KIT Business-Club 2022 (2022), Karlsruhe, Germany, April 28–29, 2022
Determination of the aerodynamic properties of refuse derived fuel by computer vision
Streier, R.; Wirtz, S.; Aleksandrov, K.; Gehrmann, H. J.; Stapf, D.; Zhang, M.; Vogelbacher, M.; Matthes, J.; Scherer, V.
2022. Proceedings of the 13th European Conference on Industrial Furnaces and Boilers
Deep learning-based segmentation of overlapping flames in industrial combustion chambers
Vogelbacher, M.; Waibel, P.; Großkopf, J.; Kollmer, M.; Matthes, J.
2022. Proceedings of the13th European Conference on Industrial Furnaces and Boilers
Analysis of spatial flight properties of refuse-derived fuel particles based on a light-field camera system
Zhang, M.; Vogelbacher, M.; Aleksandrov, K.; Gehrmann, H. J.; Stapf, D.; Streier, R.; Wirtz, S.; Scherer, V.; Matthes, J.
2022. Proceedings of the 13th European Conference on Industrial Furnaces and Boilers
A camera-based flame stability controller for non-oscillating and forced-oscillating combustion
Matthes, J.; Waibel, P.; Vogelbacher, M.; Keller, H. B.; Gehrmann, H. J.; Stapf, D.
2022. Proceedings of the 13th European Conference on Industrial Furnaces and Boilers
VILLASnode-based Co-simulation of Local Energy Communities
Carta, D.; Weber, M.; Glucker, P.; Pesch, T.; Hagenmeyer, V.; Benigni, A.; Kuhnapfel, U.
2022. 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES): April 4–5, 2022, Aachen, Germany, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES54027.2022.9768933
Using Open Data for Modeling and Simulation of the All Electrical Society in eASiMOV
Çakmak, H. K.; Hagenmeyer, V.
2022. 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES54027.2022.9769145
How to Derive and Implement a Minimalistic RC Model from Thermodynamics for the Control of Thermal Parameters for Assuring Thermal Comfort in Buildings
Frahm, M.; Langner, F.; Zwickel, P.; Matthes, J.; Mikut, R.; Hagenmeyer, V.
2022. 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/OSMSES54027.2022.9769134
Design and experimental setup of a new concept of an aerosol-on-demand print head
Sieber, I.; Zeltner, D.; Ungerer, M.; Wenka, A.; Walter, T.; Gengenbach, U.
2022. Aerosol Science and Technology, 56 (4), 355–366. doi:10.1080/02786826.2021.2022094
Energy informatics – key elements for tomorrow’s energy system
Schmeck, H.; Monti, A.; Hagenmeyer, V.
2022. Communications of the ACM, 65 (4), 58–63. doi:10.1145/3511666
High-Throughput Data Acquisition Platform for Multi-Larvae Touch-Response Behavior Screening of Zebrafish
Wang, Y.; Kanagaraj, N. K.; Pylatiuk, C.; Mikut, R.; Peravali, R.; Reischl, M.
2022. IEEE Robotics and automation letters, 7 (2), 858–865. doi:10.1109/LRA.2021.3134281
Rapid Scalable Distributed Power Flow with Open-Source Implementation
Dai, X.; Cai, Y.; Jiang, Y.; Hagenmeyer, V.
2022
Prof. Dr.-Ing. Jürgen Adamy zum 60. Geburtstag
Bretthauer, G.; Willert, V.
2022. at - Automatisierungstechnik, 70 (3), 312–314. doi:10.1515/auto-2022-0017
Tuning a Distance-Prediction-Based Cell Segmentation
Scherr, T.; Löffler, K.; Schilling, M.; Neumann, O.; Mikut, R.
2022, March 28. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2022), Kolkata, India, March 28–31, 2022
Review of automated time series forecasting pipelines
Meisenbacher, S.; Turowski, M.; Phipps, K.; Rätz, M.; Hagenmeyer, V.; Müller, D.; Mikut, R.
2022. Karlsruher Institut für Technologie (KIT). doi:10.48550/arXiv.2202.01712
Real-time large-area imaging of the corneal subbasal nerve plexus
Allgeier, S.; Bartschat, A.; Bohn, S.; Guthoff, R. F.; Hagenmeyer, V.; Kornelius, L.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stache, N.; Stachs, O.; Köhler, B.
2022. Scientific reports, 12, Article no: 2481. doi:10.1038/s41598-022-05983-5
Genetic Algorithm for the Optimal LiDAR Sensor Configuration on a Vehicle
Berens, F.; Elser, S.; Reischl, M.
2022. IEEE sensors journal, 22 (3), 2735–2743. doi:10.1109/JSEN.2021.3136362
Elucidation of dross formation in laser powder bed fusion at down-facing surfaces : Phenomenon-oriented multiphysics simulation and experimental validation
Charles, A.; Bayat, M.; Elkaseer, A.; Thijs, L.; Hattel, J. H.; Scholz, S.
2022. Additive manufacturing, 50, Article no: 102551. doi:10.1016/j.addma.2021.102551
Prof. Dr.-Ing. habil. Jan Lunze zum 70. Geburtstag
Bretthauer, G.
2022. at - Automatisierungstechnik, 70 (1), 102–104. doi:10.1515/auto-2021-0173
Information modelling for urban building energy simulation : A taxonomic review
Malhotra, A.; Bischof, J.; Nichersu, A.; Häfele, K.-H.; Exenberger, J.; Sood, D.; Allan, J.; Frisch, J.; Treeck, C. van; O’Donnell, J.; Schweiger, G.
2022. Building and Environment, 208, Article no: 108552. doi:10.1016/j.buildenv.2021.108552
Addendum: Measurement and QCD analysis of double-differential inclusive jet cross sections in proton-proton collisions at root s=13 TeV
CMS Collaboration; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Frühwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; Pitters, F. M.; Schieck, J.; Schöfbeck, R.; Schwarz, D.; Templ, S.; Waltenberger, W.; Wulz, C.-E.; Chekhovsky, V.; Litomin, A.; Makarenko, V.; Darwish, M. R.; De Wolf, E. A.; Janssen, T.; Kello, T.; Lelek, A.; Rejeb Sfar, H.; Mechelen, P. Van; Van Putte, S.; Van Remortel, N.; Blekman, F.; Bols, E. S.; D’Hondt, J.; Delcourt, M.; El Faham, H.; Lowette, S.; Moortgat, S.; Morton, A.; Müller, D.; Sahasransu, A. R.; Tavernier, S.; Doninck, W. Van; Beghin, D.; Bilin, B.; Clerbaux, B.; De Lentdecker, G.; Favart, L.; Grebenyuk, A.; Kalsi, A. K.; Lee, K.; Mahdavikhorrami, M.; Makarenko, I.; Moureaux, L.; Pétré, L.; Popov, A.; Postiau, N.; Starling, E.; Thomas, L.; Vanden Bemden, M.; Vander Velde, C.; Vanlaer, P.; Cornelis, T.; Dobur, D.; Knolle, J.; Lambrecht, L.; Mestdach, G.; Niedziela, M.; Roskas, C.; Samalan, A.; Skovpen, K.; Tytgat, M.; Vermassen, B.; Wezenbeek, L.; Benecke, A.; Bethani, A.; Bruno, G.; Bury, F.; Caputo, C.; David, P.; Delaere, C.; Donertas, I. S.; Giammanco, A.; Jaffel, K.; Jain, S.; Lemaitre, V.; Mondal, K.; Prisciandaro, J.; Taliercio, A.; Teklishyn, M.; Tran, T. T.; Vischia, P.; Wertz, S.; Alves, G. A.; Hensel, C.; Moraes, A.; Aldá Júnior, W. L.; Alves Gallo Pereira, M.; Barroso Ferreira Filho, M.; Brandao Malbouisson, H.; Carvalho, W.; Chinellato, J.; Costa, E. M. Da; Silveira, G. G. Da; De Jesus Damiao, D.; Fonseca De Souza, S.; Mora Herrera, C.; Mota Amarilo, K.; Mundim, L.; Nogima, H.; Rebello Teles, P.; Santoro, A.; Silva Do Amaral, S. M.; Sznajder, A.; Thiel, M.; Torres Da Silva De Araujo, F.; Vilela Pereira, A.; Bernardes, C. A.; Calligaris, L.; Fernandez Perez Tomei, T. R.; Gregores, E. M.; Lemos, D. S.; Mercadante, P. G.; Novaes, S. F.; Padula, S. S.; Aleksandrov, A.; Antchev, G.; Hadjiiska, R.; Iaydjiev, P.; Misheva, M.; Rodozov, M.; Shopova, M.; Sultanov, G.; Dimitrov, A.; Ivanov, T.; Litov, L.; Pavlov, B.; Petkov, P.; Petrov, A.; Cheng, T.; Javaid, T.; Mittal, M.; Yuan, L.; Ahmad, M.; Bauer, G.; Dozen, C.; Hu, Z.; Martins, J.; Wang, Y.; Yi, K.; Chapon, E.; Chen, G. M.; Chen, H. S.; Chen, M.; Iemmi, F.; Kapoor, A.; Leggat, D.; Liao, H.; Liu, Z.-A.; Milosevic, V.; Monti, F.; Sharma, R.; Tao, J.; Thomas-Wilsker, J.; Wang, J.; Zhang, H.; Zhao, J.; Agapitos, A.; An, Y.; Ban, Y.; Chen, C.; Levin, A.; Li, Q.; Lyu, X.; Mao, Y.; Qian, S. J.; Wang, D.; Wang, Q.; Xiao, J.; Lu, M.; You, Z.; Gao, X.; Okawa, H.; Zhang, Y.; Lin, Z.; Xiao, M.; Avila, C.; Cabrera, A.; Florez, C.; Fraga, J.; Mejia Guisao, J.; Ramirez, F.; Ruiz Alvarez, J. D.; Salazar González, C. A.; Giljanovic, D.; Godinovic, N.; Lelas, D.; Puljak, I.; Antunovic, Z.; Kovac, M.; Sculac, T.; Brigljevic, V.; Ferencek, D.; Majumder, D.; Roguljic, M.; Starodumov, A.; Susa, T.; Attikis, A.; Christoforou, K.; Erodotou, E.; Ioannou, A.; Kole, G.; Kolosova, M.; Konstantinou, S.; Mousa, J.; Nicolaou, C.; Ptochos, F.; Razis, P. A.; Rykaczewski, H.; Saka, H.; Finger, M.; Finger, M., Jr.; Kveton, A.; Ayala, E.; Carrera Jarrin, E.; Assran, Y.; Ellithi Kamel, A.; Mahmoud, M. A.; Mohammed, Y.; Bhowmik, S.; Dewanjee, R. K.; Ehataht, K.; Kadastik, M.; Nandan, S.; Nielsen, C.; Pata, J.; Raidal, M.; Tani, L.; Veelken, C.; Eerola, P.; Forthomme, L.; Kirschenmann, H.; Osterberg, K.; Voutilainen, M.; Bharthuar, S.; Brücken, E.; Garcia, F.; Havukainen, J.; Kim, M. S.; Kinnunen, R.; Lampén, T.; Lassila-Perini, K.; Lehti, S.; Lindén, T.; Lotti, M.; Martikainen, L.; Myllymäki, M.; Ott, J.; Siikonen, H.; Tuominen, E.; Tuominiemi, J.; Luukka, P.; Petrow, H.; Tuuva, T.; Amendola, C.; Besancon, M.; Couderc, F.; Dejardin, M.; Denegri, D.; Faure, J. L.; Ferri, F.; Ganjour, S.; Gras, P.; Hamel de Monchenault, G.; Jarry, P.; Lenzi, B.; Locci, E.; Malcles, J.; Rander, J.; Rosowsky, A.; Sahin, M. Ö.; Savoy-Navarro, A.; Titov, M.; Yu, G. B.; Ahuja, S.; Beaudette, F.; Bonanomi, M.; Buchot Perraguin, A.; Busson, P.; Cappati, A.; Charlot, C.; Davignon, O.; Diab, B.; Falmagne, G.; Ghosh, S.; Granier de Cassagnac, R.; Hakimi, A.; Kucher, I.; Motta, J.; Nguyen, M.; Ochando, C.; Paganini, P.; Rembser, J.; Salerno, R.; Sarkar, U.; Sauvan, J. B.; Sirois, Y.; Tarabini, A.; Zabi, A.; Zghiche, A.; Agram, J.-L.; Andrea, J.; Apparu, D.; Bloch, D.; Bourgatte, G.; Brom, J.-M.; Chabert, E. C.; Collard, C.; Darej, D.; Fontaine, J.-C.; Goerlach, U.; Grimault, C.; Le Bihan, A.-C.; Nibigira, E.; Van Hove, P.; Asilar, E.; Beauceron, S.; Bernet, C.; Boudoul, G.; Camen, C.; Carle, A.; Chanon, N.; Contardo, D.; Depasse, P.; El Mamouni, H.; Fay, J.; Gascon, S.; Gouzevitch, M.; Ille, B.; Laktineh, I. B.; Lattaud, H.; Lesauvage, A.; Lethuillier, M.; Mirabito, L.; Perries, S.; Shchablo, K.; Sordini, V.; Torterotot, L.; Touquet, G.; Vander Donckt, M.; Viret, S.; Lomidze, I.; Toriashvili, T.; Tsamalaidze, Z.; Botta, V.; Feld, L.; Klein, K.; Lipinski, M.; Meuser, D.; Pauls, A.; Röwert, N.; Schulz, J.; Teroerde, M.; Dodonova, A.; Eliseev, D.; Erdmann, M.; Fackeldey, P.; Fischer, B.; Ghosh, S.; Hebbeker, T.; Hoepfner, K.; Ivone, F.; Mastrolorenzo, L.; Merschmeyer, M.; Meyer, A.; Mocellin, G.; Mondal, S.; Mukherjee, S.; Noll, D.; Novak, A.; Pook, T.; Pozdnyakov, A.; Rath, Y.; Reithler, H.; Roemer, J.; Schmidt, A.; Schuler, S. C.; Sharma, A.; Vigilante, L.; Wiedenbeck, S.; Zaleski, S.; Dziwok, C.; Flügge, G.; Haj Ahmad, W.; Hlushchenko, O.; Kress, T.; Nowack, A.; Pistone, C.; Pooth, O.; Roy, D.; Sert, H.; Stahl, A.; Ziemons, T.; Zotz, A.; Aarup Petersen, H.; Aldaya Martin, M.; Asmuss, P.; Baxter, S.; Bayatmakou, M.; Behnke, O.; Bermúdez Martínez, A.; Bhattacharya, S.; Bin Anuar, A. A.; Borras, K.; Brunner, D.; Campbell, A.; Cardini, A.; Cheng, C.; Colombina, F.; Consuegra Rodríguez, S.; Correia Silva, G.; Danilov, V.; De Silva, M.; Didukh, L.; Eckerlin, G.; Eckstein, D.; Eren, E.; Estevez Banos, L. I.; Filatov, O.; Gallo, E.; Gao, J.; Geiser, A.; Giraldi, A.; Grohsjean, A.; Guthoff, M.; Jafari, A.; Jomhari, N. Z.; Jung, H.; Kasem, A.; Kasemann, M.; Kaveh, H.; Kleinwort, C.; Krücker, D.; Lange, W.; Lidrych, J.; Lipka, K.; Lohmann, W.; Mäkelä, T.; Mankel, R.; Melzer-Pellmann, I.-A.; Mendizabal Morentin, M.; Metwally, J.; Meyer, A. 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M.; Lammel, S.; Lincoln, D.; Lipton, R.; Liu, T.; Madrid, C.; Maeshima, K.; Mantilla, C.; Mason, D.; McBride, P.; Merkel, P.; Mrenna, S.; Nahn, S.; Ngadiuba, J.; O’Dell, V.; Papadimitriou, V.; Pedro, K.; Pena, C.; Prokofyev, O.; Ravera, F.; Reinsvold Hall, A.; Ristori, L.; Sexton-Kennedy, E.; Smith, N.; Soha, A.; Spalding, W. J.; Spiegel, L.; Stoynev, S.; Strait, J.; Taylor, L.; Tkaczyk, S.; Tran, N. V.; Uplegger, L.; Vaandering, E. W.; Weber, H. A.; Acosta, D.; Avery, P.; Bourilkov, D.; Cadamuro, L.; Cherepanov, V.; Errico, F.; Field, R. D.; Guerrero, D.; Joshi, B. M.; Kim, M.; Koenig, E.; Konigsberg, J.; Korytov, A.; Lo, K. H.; Matchev, K.; Menendez, N.; Mitselmakher, G.; Muthirakalayil Madhu, A.; Rawal, N.; Rosenzweig, D.; Rosenzweig, S.; Rotter, J.; Shi, K.; Sturdy, J.; Wang, J.; Yigitbasi, E.; Zuo, X.; Adams, T.; Askew, A.; Habibullah, R.; Hagopian, V.; Johnson, K. F.; Khurana, R.; Kolberg, T.; Martinez, G.; Prosper, H.; Schiber, C.; Viazlo, O.; Yohay, R.; Zhang, J.; Baarmand, M. M.; Butalla, S.; Elkafrawy, T.; Hohlmann, M.; Kumar Verma, R.; Noonan, D.; Rahmani, M.; Yumiceva, F.; Adams, M. R.; Becerril Gonzalez, H.; Cavanaugh, R.; Dittmer, S.; Evdokimov, O.; Gerber, C. E.; Hangal, D. A.; Hofman, D. J.; Merrit, A. H.; Mills, C.; Oh, G.; Roy, T.; Rudrabhatla, S.; Tonjes, M. B.; Varelas, N.; Viinikainen, J.; Wang, X.; Wu, Z.; Ye, Z.; Alhusseini, M.; Dilsiz, K.; Gandrajula, R. P.; Köseyan, O. K.; Merlo, J.-P.; Mestvirishvili, A.; Nachtman, J.; Ogul, H.; Onel, Y.; Penzo, A.; Snyder, C.; Tiras, E.; Amram, O.; Blumenfeld, B.; Corcodilos, L.; Davis, J.; Eminizer, M.; Gritsan, A. V.; Kyriacou, S.; Maksimovic, P.; Roskes, J.; Swartz, M.; Vámi, T. Á.; Abreu, A.; Anguiano, J.; Baldenegro Barrera, C.; Baringer, P.; Bean, A.; Bylinkin, A.; Flowers, Z.; Isidori, T.; Khalil, S.; King, J.; Krintiras, G.; Kropivnitskaya, A.; Lazarovits, M.; Le Mahieu, C.; Lindsey, C.; Marquez, J.; Minafra, N.; Murray, M.; Nickel, M.; Rogan, C.; Royon, C.; Salvatico, R.; Sanders, S.; Schmitz, E.; Smith, C.; Tapia Takaki, J. D.; Wang, Q.; Warner, Z.; Williams, J.; Wilson, G.; Duric, S.; Ivanov, A.; Kaadze, K.; Kim, D.; Maravin, Y.; Mitchell, T.; Modak, A.; Nam, K.; Rebassoo, F.; Wright, D.; Adams, E.; Baden, A.; Baron, O.; Belloni, A.; Eno, S. C.; Hadley, N. J.; Jabeen, S.; Kellogg, R. G.; Koeth, T.; Mignerey, A. C.; Nabili, S.; Palmer, C.; Seidel, M.; Skuja, A.; Wang, L.; Wong, K.; Abercrombie, D.; Andreassi, G.; Bi, R.; Busza, W.; Cali, I. 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M.; Bonham, B.; Das, P.; Dezoort, G.; Elmer, P.; Frankenthal, A.; Greenberg, B.; Haubrich, N.; Higginbotham, S.; Kalogeropoulos, A.; Kopp, G.; Kwan, S.; Lange, D.; Marlow, D.; Mei, K.; Ojalvo, I.; Olsen, J.; Stickland, D.; Tully, C.; Malik, S.; Norberg, S.; Bakshi, A. S.; Barnes, V. E.; Chawla, R.; Das, S.; Gutay, L.; Jones, M.; Jung, A. W.; Karmarkar, S.; Kondratyev, D.; Liu, M.; Negro, G.; Neumeister, N.; Paspalaki, G.; Piperov, S.; Purohit, A.; Schulte, J. F.; Stojanovic, M.; Thieman, J.; Wang, F.; Xiao, R.; Xie, W.; Dolen, J.; Parashar, N.; Baty, A.; Carnahan, T.; Decaro, M.; Dildick, S.; Ecklund, K. M.; Freed, S.; Gardner, P.; Geurts, F. J. M.; Kumar, A.; Li, W.; Padley, B. P.; Redjimi, R.; Shi, W.; Stahl Leiton, A. G.; Yang, S.; Zhang, L.; Zhang, Y.; Bodek, A.; de Barbaro, P.; Demina, R.; Dulemba, J. L.; Fallon, C.; Ferbel, T.; Galanti, M.; Garcia-Bellido, A.; Hindrichs, O.; Khukhunaishvili, A.; Ranken, E.; Taus, R.; Chiarito, B.; Chou, J. P.; Gandrakota, A.; Gershtein, Y.; Halkiadakis, E.; Hart, A.; Heindl, M.; Karacheban, O.; Laflotte, I.; Lath, A.; Montalvo, R.; Nash, K.; Osherson, M.; Salur, S.; Schnetzer, S.; Somalwar, S.; Stone, R.; Thayil, S. A.; Thomas, S.; Wang, H.; Acharya, H.; Delannoy, A. G.; Fiorendi, S.; Spanier, S.; Bouhali, O.; Dalchenko, M.; Delgado, A.; Eusebi, R.; Gilmore, J.; Huang, T.; Kamon, T.; Kim, H.; Luo, S.; Malhotra, S.; Mueller, R.; Overton, D.; Rathjens, D.; Safonov, A.; Akchurin, N.; Damgov, J.; Hegde, V.; Kunori, S.; Lamichhane, K.; Lee, S. W.; Mengke, T.; Muthumuni, S.; Peltola, T.; Volobouev, I.; Wang, Z.; Whitbeck, A.; Appelt, E.; Greene, S.; Gurrola, A.; Johns, W.; Melo, A.; Ni, H.; Padeken, K.; Romeo, F.; Sheldon, P.; Tuo, S.; Velkovska, J.; Arenton, M. W.; Cox, B.; Cummings, G.; Hakala, J.; Hirosky, R.; Joyce, M.; Ledovskoy, A.; Li, A.; Neu, C.; Perez Lara, C. E.; Tannenwald, B.; White, S.; Wolfe, E.; Poudyal, N.; Black, K.; Bose, T.; Caillol, C.; Dasu, S.; De Bruyn, I.; Everaerts, P.; Fienga, F.; Galloni, C.; He, H.; Herndon, M.; Hervé, A.; Hussain, U.; Lanaro, A.; Loeliger, A.; Loveless, R.; Madhusudanan Sreekala, J.; Mallampalli, A.; Mohammadi, A.; Pinna, D.; Savin, A.; Shang, V.; Sharma, V.; Smith, W. H.; Teague, D.; Trembath-Reichert, S.; Vetens, W.
2022. Journal of High Energy Physics, 2022 (12), 35. doi:10.1007/JHEP12(2022)035
Some Notes on Two Tests for Stability in Lossy Power Systems
Gröll, L.; Kastner, A.; Scholl, T. H.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 55 (40), 247–252. doi:10.1016/j.ifacol.2023.01.080
HMC Community Survey 2021
Arndt, W.; Gerlich, S. C.; Hofmann, V.; Kubin, M.; Kulla, L.; Lemster, C.; Mannix, O.; Nolden, M.; Rink, K.; Schweikert, J.; Shankar, S.; Söding, E.; Steinmeier, L.; Suess, W.
2022. doi:10.7802/2433
Transformer Neural Networks for Building Load Forecasting
Hertel, M.; Ott, S.; Neumann, O.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. 36. Conference on Neural Information Processing Systems (NeurIPS 2022), Online, November 28–December 10, 2023
Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe
Böttcher, P. C.; Rydin Gorjão, L.; Beck, C.; Jumar, R.; Maass, H.; Hagenmeyer, V.; Witthaut, D.; Schäfer, B.
2022. Energy Advances, 2 (1), 91–97. doi:10.1039/D2YA00150K
microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation
Scherr, T.; Seiffarth, J.; Wollenhaupt, B.; Neumann, O.; Schilling, M. P.; Kohlheyer, D.; Scharr, H.; Nöh, K.; Mikut, R.
2022. (A. Imran, Ed.) PLOS ONE, 17 (11), Art.-Nr.: e0277601. doi:10.1371/journal.pone.0277601
Simulation of Synthetically Degraded Tracking Data to Benchmark MOT Metrics
Hartmann, M.; Löffler, K.; Mikut, R.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Ed.: H. Schulte, 163–180, KIT Scientific Publishing
EasyMLServe: Easy Deployment of REST Machine Learning Services
Neumann, O.; Schilling, M.; Reischl, M.; Mikut, R.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 11–30, KIT Scientific Publishing
Evaluation of Transformer Architectures for Electrical Load Time-Series Forecasting
Hertel, M.; Ott, S.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.; Neumann, O.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Hrsg.: H. Schulte, F. Hoffmann; R. Mikut, 93–110, KIT Scientific Publishing
Multi-stage Inspection of Laser Welding Defects using Machine Learning
Dold, P. M.; Bleier, F.; Boley, M.; Mikut, R.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 31–52, KIT Scientific Publishing
An adapter-based architecture for evaluating candidate solutions in energy system scheduling
Chlosta, M.; Liu, J.; Poppenborg, R.; Lutz, R.; Förderer, K.; Schlachter, T.; Hagenmeyer, V.
2022. Energy Informatics, 5 (S4), 56. doi:10.1186/s42162-022-00246-z
LCC und LCA des Heizungssystems inkl. PV u. Batterie des Wärmepumpenhauses des EnergyLab
Buchgeister, J.; Pineau, C.; Spatafora, L.; Frahm, M.
2022. Sitzung des KIT Zentrum Energie, Topic "System & Nachhaltigkeit" (2022), Karlsruhe, Germany, November 17, 2022
sktime - python toolbox for time series: pipelines and transformers
Kiraly, F.; Heidrich, B.; Parker, M.; Walter, M.
2022. pyDATA Global (2022), Online, December 1–3, 2022
Editorial: Methods and protocols in nanotoxicology
Krug, H. F.; Nau, K.
2022. Frontiers in Toxicology, 4, Art.Nr. 1093765. doi:10.3389/ftox.2022.1093765
14th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2022), Venice, I, May 22-26, 2022. Proceedings
Crowe, M.; Laux, F.; Schmidt, A. (Eds.)
2022. International Academy Research and Industry Association (IARIA)
Comparison of Four-Switch Buck-Boost and Dual Active Bridge Converter for DC Microgrid Applications
Ekin, Ö.; Arena, G.; Waczowicz, S.; Hagenmeyer, V.; Carne, G.
2022. 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG54999.2022.9923074
About Lightweight Code Generation
Schmidt, A.
2022. Web Engineering : 22nd International Conference, ICWE 2022, Bari, Italy, July 5–8, 2022. Ed.: T. Di Noia, 497–500, Springer International Publishing. doi:10.1007/978-3-031-09917-5_43
Demand Response in Smart Districts: Model Predictive Control of Building Cooling
Zwickel, P.; Frahm, M.; Galenzowski, J.; Hafele, K.-H.; Maass, H.; Waczowicz, S.; Hagenmeyer, V.
2022. 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe54678.2022.9960608
Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution
Poppenborg, R.; Khalloof, H.; Chlosta, M.; Hofferberth, T.; Düpmeier, C.; Hagenmeyer, V.
2022. Intelligent Data Engineering and Automated Learning – IDEAL 2022 : 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Ed.: H. Yin, 513–524, Springer International Publishing. doi:10.1007/978-3-031-21753-1_50
Early Detection of GOOSE Denial of Service (DoS) Attacks in IEC 61850 Substations
Elbez, G.; Nahrstedt, K.; Hagenmeyer, V.
2022. IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids 2022. doi:10.1109/SmartGridComm52983.2022.9961042
Comparing human and algorithmic anomaly detection for HVAC systems applications
Borrison, R.; Syndicus, M.; Orth, A.; Markovic, R.; Dix, M.; Liguori, A.; Berning, M.; Wagner, A.; Van Treeck, C.
2022. Conference Proceedings: 2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService), 155–160, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigDataService55688.2022.00032
Exploiting Multiple EEG Data Domains with Adversarial Learning
Bethge, D.; Hallgarten, P.; Ozdenizci, O.; Mikut, R.; Schmidt, A.; Grosse-Puppendahl, T.
2022. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 3154–3158, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EMBC48229.2022.9871743
Utilizing static corneal landmarks to assess dynamic corneal nerve changes by in vivo large-area confocal microscopy
Bohn, S.; Stache, N.; Sterenczak, K. A.; Sperlich, K.; Allgeier, S.; Köhler, B.; Mikut, R.; Bartschat, A.; Reichert, K.-M.; Guthoff, R. F.; Stachs, O.
2022. Der Ophthalmologe, 119 (Suppl 3), 170
Hardware Realization of Participants in an Energy Packet-based Power Grid
Schulz, D.; Schneider, K.; Weßbecher, M.; Hagenmeyer, V.; Zitterbart, M.; Hiller, M.
2022. IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PEDG54999.2022.9923290
3D Refuse-derived Fuel Particle Tracking-by-Detection Using a Plenoptic Camera System
Zhang, M.; Vogelbacher, M.; Hagenmeyer, V.; Aleksandrov, K.; Gehrmann, H.-J.; Matthes, J.
2022. IEEE Transactions on Instrumentation and Measurement, 71, Art.Nr. 5024815. doi:10.1109/TIM.2022.3217858
Fast Grid State Estimation for Power Networks: An Ensemble Machine Learning Approach
Shahoud, S.; Khalloof, H.; Khalouf, R.; Düpmeier, C.; Cakmak, H. K.; Forderer, K.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), 12–18, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889763
Modularer Baukasten für die Erstellung anwendungsspezifischer Greiffinger: Greiferfinger für eine schnelle Rekonfiguration
Friedmann, M.; Schabel, S.; Gerber, J.; Döhring, A.; Meschter, L.; Fleischer, J.; May, M.
2022. wt Werkstattstechnik online, 112 (09), 629–634. doi:10.37544/1436-4980-2022-09-101
Data Fusion and State Estimation Using Belief Propagation in Gas Distribution Networks
Demirel, G.; Jongh, S. de; Müller, F.; Leibfried, T.
2022. 57th International Universities Power Engineering Conference, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC55022.2022.9917770
Understanding Braess’ Paradox in power grids
Schäfer, B.; Pesch, T.; Manik, D.; Gollenstede, J.; Lin, G.; Beck, H.-P.; Witthaut, D.; Timme, M.
2022. doi:10.48550/arXiv.2209.13278
A Photovoltaic System Model Integration FAIR Digital Objects and Ontologies
Schweikert, J.; Stucky, U.; Süß, W.; Hagenmeyer, V.
2022. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 10-12 August 2022, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE55279.2022.9889768
Realizing FAIR Digital Objects for the German Helmholtz Association of Research Centres
Jejkal, T.; Pfeil, A.; Schweikert, J.; Pirogov, A.; Barranco, P.; Krebs, F.; Koch, C.; Guenther, G.; Curdt, C.; Weinelt, M.
2022. Research Ideas and Outcomes, 8, Art.Nr. e94758. doi:10.3897/rio.8.e94758
Implementation of a Photovoltaic System Model Using FAIR Digital Objects
Schweikert, J.; Stucky, K.-U.; Koubaa, M. A.; Süß, W.; Hagenmeyer, V.
2022. Research Ideas and Outcomes, 8, Art.-nr.: e93929. doi:10.3897/rio.8.e93929
HMC Community Survey: A Survey on research data management practices among researchers in the Helmhotz-Association
Gerlich, S.; Hofmann, V.; Kubin, M.; Lemster, C.; Mannix, O.; Rink, K.; Schweikert, J.; Shankar, S.; Söding, E.; Steinmeier, L.; Süß, W.
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Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision
Poppenborg, R.; Chlosta, M.; Ruf, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2022. 10th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2022), Oshawa, Canada, August 10–12, 2022
Understanding Braess’ Paradox in power grids
Schäfer, B.; Pesch, T.; Manik, D.; Gollenstede, J.; Lin, G.; Beck, H.-P.; Witthaut, D.; Timme, M.
2022. Nature Communications, 13 (1), Art.-Nr.: 5396. doi:10.1038/s41467-022-32917-6
Rapid Scalable Distributed Power Flow with Open-Source Implementation
Dai, X.; Cai, Y.; Jiang, Y.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 55 (13), 145–150. doi:10.1016/j.ifacol.2022.07.250
Experimental Setup for Evaluation of Medical Ozone Gas Sensors
Petani, L.; Wickersheim, D.; Koker, L.; Reischl, M.; Gengenbach, U.; Pylatiuk, C.
2022. 2022 IEEE Sensors Applications Symposium (SAS), 1st - 3rd August 2022, Sundsvall, Sweden, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SAS54819.2022.9881340
Inferring Topology of Networks With Hidden Dynamic Variables
Schmidt, R.; Haehne, H.; Hillmann, L.; Casadiego, J.; Witthaut, D.; Schafer, B.; Timme, M.
2022. IEEE Access, 10, 76682–76692. doi:10.1109/ACCESS.2022.3191665
Non-Invasive Data Acquisition and IoT Solution for Human Vital Signs Monitoring: Applications, Limitations and Future Prospects
Salem, M.; Elkaseer, A.; El-Maddah, I. A. M.; Youssef, K. Y.; Scholz, S. G.; Mohamed, H. K.
2022. Sensors, 22 (17), Art.Nr. 6625. doi:10.3390/s22176625
Development and Validation of Grey-Box Multi-Zone Thermal Building Models
Frahm, M.; Klumpp, E.; Meisenbacher, S.; Matthes, J.; Mikut, R.; Hagenmeyer, V.
2022. Proceedings of BauSim Conference 2022 : 9th Conference of IBPSA-Germany and Austria, 20-22 September 2022, Bauhaus Universität Weimar. C. Völker, 346–351, International Building Performance Simulation Association (IBPSA). doi:10.26868/29761662.2022.22
Boost short-term load forecasts with synthetic data from transferred latent space information
Heidrich, B.; Mannsperger, L.; Turowski, M.; Phipps, K.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. DACH+ Conference on Energy Informatics German Federal Ministry for Economic Affairs and Energy
Boost short-term load forecasts with synthetic data from transferred latent space information
Heidrich, B.; Mannsperger, L.; Turowski, M.; Phipps, K.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. Energy Informatics, 5 (S1), Article no: 20. doi:10.1186/s42162-022-00214-7
Net load forecasting using different aggregation levels
Beichter, M.; Phipps, K.; Frysztacki, M. M.; Mikut, R.; Hagenmeyer, V.; Ludwig, N.
2022. Energy Informatics, 5 (S1), Article no: 19. doi:10.1186/s42162-022-00213-8
BCFViewer – BIM Collaboration Format tool development
Lourenzi, F.; Geiger, A.
2022. Proceedings of 33. ForumBauinformatik, 07. – 09. September 2022, Technische Universität München. Hrsg.: M. Slepicka, 343 – 350
Integration of Monitoring Data into a Virtual 3D Campus Model
Häfele, K.-H.; Geiger, A.; Kaiser, F.-J.; Hagenmeyer, V.
2022. Bauhaus-Universität Weimar
Usage Profile Enrichment of CityGML Models for Urban Building Energy Modeling
Geiger, A.; Nichersu, A.; Häfele, K.-H.; Hagenmeyer, V.
2022. Bauhaus Universität Weimar
Automated floorplan generation using mathematical optimization
Zhong, Y.; Geiger, A.
2022. 14th European Conference on Product and Process Modelling, Norwegian University of Science and Technology (NTNU)
KaIDA: a modular tool for assisting image annotation in deep learning
Schilling, M. P.; Schmelzer, S.; Klinger, L.; Reischl, M.
2022. Journal of Integrative Bioinformatics, 19 (4), Art.-Nr.: 20220018. doi:10.1515/jib-2022-0018
Ciscnet - a Single-Branch Cell Nucleus Instance Segmentation and Classification Network
Böhland, M.; Neumann, O.; Schilling, M. P.; Reischl, M.; Mikut, R.; Loffler, K.; Scherr, T.
2022. 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISBIC56247.2022.9854734
Data-driven load profiles and the dynamics of residential electricity consumption
Anvari, M.; Proedrou, E.; Schäfer, B.; Beck, C.; Kantz, H.; Timme, M.
2022. Nature Communications, 13 (1), Art.-Nr.: 4593. doi:10.1038/s41467-022-31942-9
Entwicklung und Evaluation eines Simulators für die endoskopische Nasennebenhöhlenoperation
Pößneck, A.; Ludwig, A. A.; Burgert, O.; Nowatius, E.; Maaß, H.; Çakmak, H.; Dietz, A.
2022. Laryngo-Rhino-Otologie, 101 (10), 805–813. doi:10.1055/a-1841-6328
A Mode-Based Averaged Power Converter Model for Large Transients
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2022. IFAC-PapersOnLine, 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, Vienna Austria, 27–29 July 2022, Ed.: A. Kugi, 55 (20), 367–372. doi:10.1016/j.ifacol.2022.09.122
Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments
Khalloof, H.; Ciftci, S.; Shahoud, S.; Duepmeier, C.; Foerderer, K.; Hagenmeyer, V.
2022. GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Ed.: J. E. Fieldsend, 2001–2008, Association for Computing Machinery (ACM). doi:10.1145/3520304.3533997
Validation Methods for Energy Time Series Scenarios From Deep Generative Models
Cramer, E.; Gorjao, L. R.; Mitsos, A.; Schafer, B.; Witthaut, D.; Dahmen, M.
2022. IEEE Access, 10, 8194–8207. doi:10.1109/ACCESS.2022.3141875
Secondary frequency control stabilising voltage dynamics
Tchuisseu, E. B. T.; Dongmo, E.-D.; Procházka, P.; Woafo, P.; Colet, P.; Schäfer, B.
2022. European Journal of Applied Mathematics, 34 (3), 467–483. doi:10.1017/S095679252100036X
Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid
Rydin Gorjao, L.; Vanfretti, L.; Witthaut, D.; Beck, C.; Schäfer, B.
2022. IEEE Access, 10, 18065–18073. doi:10.1109/ACCESS.2022.3150338
Modelling and Simulation of an Aerosol-on-Demand Print Head with Computational Fluid Dynamics
Ungerer, M.; Zeltner, D.; Wenka, A.; Gengenbach, U.; Sieber, I.
2022. Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2022), July 14-16, 2022, in Lisbon, Portugal. Ed.: Gerd Wagner, 44–51, SciTePress. doi:10.5220/0011258100003274
Assessment of dynamic corneal nerve changes using static landmarks by in vivo large-area confocal microscopy—a longitudinal proof-of-concept study
Stache, N.; Sterenczak, K. A.; Sperlich, K.; Marfurt, C. F.; Allgeier, S.; Köhler, B.; Mikut, R.; Bartschat, A.; Reichert, K.-M.; Guthoff, R. F.; Stachs, A.; Stachs, O.; Bohn, S.
2022. Quantitative Imaging in Medicine and Surgery, 12 (10), 4734–4746. doi:10.21037/qims-22-15
Energiesysteme zukunftssicher gestalten: Resilienz & Nachhaltigkeit & Partizipation als Treiber für technologische und gesellschaftliche Innovationen
Hanselka, H.; Ottenburger, S. S.; Raskob, W.; Bao, K.; Rösch, C.
2022. Resilienz – Innovationen – Wachstum: Energie für die postpandemische Zeit, 42–54, Forum für Zukunftsenergien e.V
Modeling and Generating Synthetic Anomalies for Energy and Power Time Series
Turowski, M.; Weber, M.; Neumann, O.; Heidrich, B.; Phipps, K.; Çakmak, H. K.; Mikut, R.; Hagenmeyer, V.
2022. e-Energy ’22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022- 1 July 2022. Ed.: S. Lehnhoff, 471–484, Association for Computing Machinery (ACM). doi:10.1145/3538637.3539760
Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone
Solheid, J. S.; Elkaseer, A.; Wunsch, T.; Scholz, S.; Seifert, H. J.; Pfleging, W.
2022. Materials, 15 (9), Art.Nr. 3323. doi:10.3390/ma15093323
Oscillating Combustion for NOₓ-Reduction in Pulverized Fuel Boilers
Jolibois, N.; Gehrmann, H. J.; Aleksandrov, K.; Hauser, M.; Stapf, D.; Seifert, H.; Waibel, P.; Vogelbacher, M.; Matthes, J.
2022. 13th European Conference on Industrial Furnances and Boilers (INFUB-13), Centro de Energia e Tecnologia (CENERTEC)
A Holistic Consideration of Megawatt Electrolysis as a Key Component of Sector Coupling
Emonts, B.; Müller, M.; Hehemann, M.; Janßen, H.; Keller, R.; Stähler, M.; Stähler, A.; Hagenmeyer, V.; Dittmeyer, R.; Pfeifer, P.; Waczowicz, S.; Rubin, M.; Munzke, N.; Kasselmann, S.
2022. Energies, 15 (10), 3656. doi:10.3390/en15103656
In vivo monitoring of corneal dendritic cells in the subbasal nerve plexus during Trastuzumab and Paclitaxel breast cancer therapy - a one-year follow-up
Bohn, S.; Stache, N.; Sperlich, K.; Allgeier, S.; Köhler, B.; Bartschat, A.; Do, H.-V.; George, C.; Guthoff, R. F.; Stachs, A.; Stachs, O.; Sterenczak, K. A.
2022. Diagnostics, 12 (5), 1180. doi:10.3390/diagnostics12051180
Evaluating ensemble post‐processing for wind power forecasts
Phipps, K.; Lerch, S.; Andersson, M.; Mikut, R.; Hagenmeyer, V.; Ludwig, N.
2022. Wind Energy, 25 (8), 1379–1405. doi:10.1002/we.2736
Distributed Optimization with Application to Power Systems and Control. PhD dissertation
Engelmann, A.
2022. KIT Scientific Publishing. doi:10.5445/KSP/1000144792
An Automated Room Temperature Flip-Chip Mounting Process for Hybrid Printed Electronics
Chen, Z.; Gengenbach, U.; Liu, X.; Scholz, A.; Zimmermann, L.; Aghassi-Hagmann, J.; Koker, L.
2022. Micromachines, 13 (4), 583. doi:10.3390/mi13040583
A Closer Look at Precision Hard Turning of AISI4340: Multi-Objective Optimization for Simultaneous Low Surface Roughness and High Productivity
Abbas, A. T.; Al-Abduljabbar, A. A.; Alnaser, I. A.; Aly, M. F.; Abdelgaliel, I. H.; Elkaseer, A.
2022. Materials, 15 (6), Art.-Nr.: 2106. doi:10.3390/ma15062106
High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
Luh, M.; Phipps, K.; Britto, A.; Wolf, M.; Lutz, M.; Kraft, J.
2022. ACM Digital Library. doi:10.5445/IR/1000144567
Experimental Evaluation and Systematic-Error Reduction of Frequency Estimation Using the Zero-Crossing Technique for Dynamic Power Grids
Förstner, E.; JUmar, R.; Tanrikulu, O. D.; Maaß, H.; Kühnapfel, U.; Hagenmeyer, V.
2022. The 2022 International Conference on Smart Grid Synchronized Measurements and Analytics – SGSMA, Split, Croatia, May 24h - 26th 2022, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SGSMA51733.2022.9806021
A Comparison of Energy-Efficient Seizure Detectors for Implantable Neurostimulation Devices
Manzouri, F.; Zöllin, M.; Schillinger, S.; Dümpelmann, M.; Mikut, R.; Woias, P.; Comella, L. M.; Schulze-Bonhage, A.
2022. Frontiers in Neurology, 12, Article: 703797. doi:10.3389/fneur.2021.703797
Methods and Prospects of Machine Learning applied to Challenges in Crystallography
Reischl, M.
2022. 30th Annual Meeting of the German Crystallographic Society (DGK 2022), Munich, Germany, March 14–17, 2022
“Cells‐to‐cDNA on Chip”: Phenotypic assessment and gene expression analysis from live cells in nanoliter volumes using droplet microarrays
Chakraborty, S.; Luchena, C.; Elton, J. J.; Schilling, M. P.; Reischl, M.; Roux, M.; Levkin, P. A.; Popova, A. A.
2022. Advanced Healthcare Materials, 11 (12), Art.-Nr.: 2102493. doi:10.1002/adhm.202102493
K meson production in inelastic p+p interactions at 158 GeV/c beam momentum measured by NA61/SHINE at the CERN SPS
Acharya, A.; Adhikary, H.; Allison, K. K.; Amin, N.; Andronov, E. V.; Antićić, T.; Babkin, V.; Baszczyk, M.; Bhosale, S.; Blondel, A.; Bogomilov, M.; Bondar, Y.; Brandin, A.; Bravar, A.; Bryliński, W.; Brzychczyk, J.; Buryakov, M.; Busygina, O.; Bzdak, A.; Cherif, H.; Ćirković, M.; Csanad, M.; Cybowska, J.; Czopowicz, T.; Damyanova, A.; Davis, N.; Deliyergiyev, M.; Deveaux, M.; Dmitriev, A.; Dominik, W.; Dorosz, P.; Dumarchez, J.; Engel, R.; Feofilov, G. A.; Fields, L.; Fodor, Z.; Garibov, A.; Gaździcki, M.; Golosov, O.; Golovatyuk, V.; Golubeva, M.; Grebieszkow, K.; Guber, F.; Haesler, A.; Igolkin, S. N.; Ilieva, S.; Ivashkin, A.; Johnson, S. R.; Kadija, K.; Kargin, N.; Kashirin, E.; Kiełbowicz, M.; Kireyeu, V. A.; Klochkov, V.; Kolesnikov, V. I.; Kolev, D.; Korzenev, A.; Kovalenko, V. N.; Kowalski, S.; Koziel, M.; Kozłowski, B.; Krasnoperov, A.; Kucewicz, W.; Kuich, M.; Kurepin, A.; Larsen, D.; László, A.; Lazareva, T. V.; Lewicki, M.; Łojek, K.; Lyubushkin, V. V.; Maćkowiak-Pawłowska, M.; Majka, Z.; Maksiak, B.; Malakhov, A. I.; Marcinek, A.; Marino, A. D.; Marton, K.; Mathes, H.-J.; Matulewicz, T.; Matveev, V.; Melkumov, G. L.; Merzlaya, A. O.; Messerly, B.; Mik, Ł.; Morozov, S.; Nagai, Y.; Naskręt, M.; Ozvenchuk, V.; Panova, O.; Paolone, V.; Petukhov, O.; Pidhurskyi, I.; Płaneta, R.; Podlaski, P.; Popov, B. A.; Porfy, B.; Posiadała-Zezula, M.; Prokhorova, D. S.; Pszczel, D.; Puławski, S.; Puzović, J.; Ravonel, M.; Renfordt, R.; Röhrich, D.; Rondio, E.; Rumberger, B. T.; Rumyantsev, M.; Rustamov, A.; Rybczynski, M.; Rybicki, A.; Sadhu, S.; Sadovsky, A.; Schmidt, K.; Selyuzhenkov, I.; Seryakov, A. Y.; Seyboth, P.; Słodkowski, M.; Staszel, P.; Stefanek, G.; Stepaniak, J.; Strikhanov, M.; Ströbele, H.; Šuša, T.; Taranenko, A.; Tefelska, A.; Tefelski, D.; Tereshchenko, V.; Toia, A.; Tsenov, R.; Turko, L.; Unger, M.; Uzhva, D.; Valiev, F. F.; Veberič, D.; Vechernin, V. V.; Wickremasinghe, A.; Wójcik, K.; Wyszyński, O.; Zaitsev, A.; Zimmerman, E. D.; Zwaska, R.; NA61/SHINECollaboration
2022. European Physical Journal C, 82 (1), Art.-Nr.: 96. doi:10.1140/epjc/s10052-021-09976-y
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding
Zhou, B.; Pychynski, T.; Reischl, M.; Kharlamov, E.; Mikut, R.
2022. Journal of Intelligent Manufacturing, 33, 1139–1163. doi:10.1007/s10845-021-01892-y
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels
Schutera, M.; Rettenberger, L.; Pylatiuk, C.; Reischl, M.
2022. PLoS ONE, 17 (2), Art.-Nr.: e0263656. doi:10.1371/journal.pone.0263656
Simple assessment of viability in 2D and 3D cell microarrays using single step digital imaging
Popova, A. A.; Reischl, M.; Kazenmaier, D.; Cui, H.; Amberger, T.; Levkin, P. A.
2022. SLAS technology, 27 (1), 44–53. doi:10.1016/j.slast.2021.10.017
Automated Annotator Variability Inspection for Biomedical Image Segmentation
Schilling, M. P.; Scherr, T.; Munke, F. R.; Neumann, O.; Schutera, M.; Mikut, R.; Reischl, M.
2022. IEEE access, 10, 2753–2765. doi:10.1109/ACCESS.2022.3140378
Microservice-Based Architecture for the Integration of Data Backends and Dashboard Applications in the Energy and Environment Domains
Sidler, J.; Braun, E.; Schmitt, C.; Schlachter, T.; Hagenmeyer, V.
2022. Advances and New Trends in Environmental Informatics. Ed.: V. Wohlgemuth, 37–48, Springer International Publishing. doi:10.1007/978-3-030-88063-7
Features Detection-Based Computer Vision of Transparent 3D Inkjet Printed Parts
Elkaseer, A.; Scholz, A.; Scholz, S. G.
2022. Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2. Ed.: K. Arai, 218–231, Springer International Publishing. doi:10.1007/978-3-030-89880-9_17
Development of Correction Factors for FDM 3D Printers: Experimental Investigation and ANN Modelling
Müller, T.; Elkaseer, A.; Wadlinger, J.; Salem, M.; Scholz, S. G.
2022. Sustainable Design and Manufacturing : Proceedings of the 8th International Conference on Sustainable Design and Manufacturing (KES-SDM 2021) . Ed.: S. Scholz, 314–326, Springer Singapur. doi:10.1007/978-981-16-6128-0_30
Human Activity Recognition Using K-Nearest Neighbor Machine Learning Algorithm
Mohsen, S.; Elkaseer, A.; Scholz, S. G.
2022. Sustainable Design and Manufacturing – Proceedings of the 8th International Conference on Sustainable Design and Manufacturing (KES-SDM 2021). Ed.: S. Scholz, 304–313, Springer Singapur. doi:10.1007/978-981-16-6128-0_29
Additive Manufacturing in the Automotive Industry and the Potential for Driving the Green and Electric Transition
Charles, A.; Hofer, A.; Elkaseer, A.; Scholz, S. G.
2022. Sustainable Design and Manufacturing: Proceedings of the 8th International Conference on Sustainable Design and Manufacturing (KES-SDM 2021) . Ed.: S. G. Scholz, 339–346, Springer Singapur. doi:10.1007/978-981-16-6128-0_32
Equilibrium droplet shapes on chemically patterned surfaces: theoretical calculation, phase-field simulation, and experiments
Wu, Y.; Kuzina, M.; Wang, F.; Reischl, M.; Selzer, M.; Nestler, B.; Levkin, P. A.
2022. Journal of Colloid and Interface Science, 606, 1077–1086. doi:10.1016/j.jcis.2021.08.029
Development of an Experimental Setup for Real-Time In-Line Dissolved Ozone Measurement for Medical Therapy
Petani, L.; Wührl, L.; Koker, L.; Reischl, M.; Renz, J.; Gengenbach, U.; Pylatiuk, C.
2022. Ozone science & engineering, 44 (5), 499–509. doi:10.1080/01919512.2021.1932412
2021
Grid Screener: A Tool for Automated High-throughput Screening on Biochemical and Biological Analysis Platforms
Schilling, M. P.; Schmelzer, S.; Gómez, J. E. U.; Popova, A. A.; Levkin, P. A.; Reischl, M.
2021. IEEE access, 9, 166027–166038. doi:10.1109/ACCESS.2021.3135709
Enabling Sustainability-Driven Control Strategies in Multimodal Energy Systems Simulations
Erdmann, A.; Kyesswa, M.; Çakmak, H. K.; Hagenmeyer, V.
2021. IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 937–942, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEurope52324.2021.9639920
Modeling and Control of the Falling Film Evaporator Process. PhD dissertation
Hofmann, J.
2021, December 17. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000141284
Digital twins of large scale energy grids
Hagenmeyer, V.
2021, December 6. 3rd 3rd CASUS Annual Workshop with this year’s topic “Digital Twins of Complex Systems” (2021), Online, December 6–9, 2021
A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications
Schwenk, K.; Phipps, K.; Briegel, B.; Hagenmeyer, V.; Mikut, R.
2021. 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SSCI50451.2021.9660063
A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics
Khalloof, H.; Mohammad, M.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2021. Internet of Things, 16, Art.-Nr. 100433. doi:10.1016/j.iot.2021.100433
Data on the Safety of Innovative Materials – DaNa4.0
Katja Nau, Clarissa Marquardt, Dana Kühnel, Andreas Mattern, Sara Espinoza, Harald Krug, Christoph Steinbach
2021, December
Daten zur Sicherheit von innovativen Materialien – DaNa4.0
Nau, K.; Marquardt, C.; Kühnel, D.; Mattern, A.; Espinoza, S.; Krug, H.; Steinbach, C.
2021, December
Wide-field mosaics of the corneal subbasal nerve plexus in Parkinson’s disease using in vivo confocal microscopy
Badian, R. A.; Allgeier, S.; Scarpa, F.; Andréasson, M.; Bartschat, A.; Mikut, R.; Colonna, A.; Bellisario, M.; Utheim, T. P.; Köhler, B.; Svenningsson, P.; Lagali, N.
2021. Scientific data, 8 (1), Article no: 306. doi:10.1038/s41597-021-01087-3
Application of 3D MAPs pipeline identifies the morphological sequence chondrocytes undergo and the regulatory role of GDF5 in this process
Rubin, S.; Agrawal, A.; Stegmaier, J.; Krief, S.; Felsenthal, N.; Svorai, J.; Addadi, Y.; Villoutreix, P.; Stern, T.; Zelzer, E.
2021. Nature Communications, 12 (1), Article no: 5363. doi:10.1038/s41467-021-25714-0
A stochastic oscillator model simulates the entrainment of vertebrate cellular clocks by light
Kumpošt, V.; Vallone, D.; Gondi, S. B.; Foulkes, N. S.; Mikut, R.; Hilbert, L.
2021. Scientific reports, 11 (1), Art.-Nr.: 14497. doi:10.1038/s41598-021-93913-2
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
Schilling, M. P.; Rettenberger, L.; Münke, F.; Cui, H.; Popova, A. A.; Levkin, P. A.; Mikut, R.; Reischl, M.
2021, November 26. 31. Workshop Computational Intelligence (2021), Berlin, Germany, November 25–26, 2021
Peer-to-Peer Electricity Market based on Local Supervision
Khajeh, H.; Gazafroudi, A. S.; Laaksonen, H.; Shafie-Khah, M.; Siano, P.; Catalão, J. P. S.
2021. IEEE access, 9, 156647–156662. doi:10.1109/ACCESS.2021.3129050
Molecular noise facilitates population synchronization of uncoupled cellular oscillators to external signals
Kumpost, V.
2021, November 15. CompSysBio : Advanced Lecture Course on Computational Systems Biology (2021), Aussois, France, November 14–19, 2021
Hierarchical approach for coordinating energy and flexibility trading in local energy markets
Gazafroudi, A. S.; Khorasany, M.; Razzaghi, R.; Laaksonen, H.; Shafie-khah, M.
2021. Applied Energy, 302, Art.-Nr.: 117575. doi:10.1016/j.apenergy.2021.117575
Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow
González-Ordiano, J. Á.; Mühlpfordt, T.; Braun, E.; Liu, J.; Çakmak, H.; Kühnapfel, U.; Düpmeier, C.; Waczowicz, S.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Appino, R. R.
2021. Applied energy, 302, Art.-Nr.: 117498. doi:10.1016/j.apenergy.2021.117498
Model Predictive Control in Buildings: Accounting for Uncertainties of Weather and Occupancy Behavior Forecasts on Demand-Side-Management
Frahm, M.
2021, November 12. 1 Annex 79 ST2 PhD Forum (2021), Online, November 12–13, 2021
A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure
Schilling, M. P.; Neumann, O.; Scherr, T.; Cui, H.; Popova, A. A.; Levkin, P. A.; Götz, M.; Reischl, M.
2021, November 8. 7th bwHPC Symposium (2021), Online, November 8, 2021
Automated generation of models for demand side flexibility using machine learning – an overview
Förderer, K.; Hagenmeyer, V.; Schmeck, H.
2021. ACM SIGEnergy Energy Informatics Review, 1 (1), 107–120. doi:10.1145/3508467.3508477
SemML: Facilitating development of ML models for condition monitoring with semantics
Zhou, B.; Svetashova, Y.; Gusmao, A.; Soylu, A.; Cheng, G.; Mikut, R.; Waaler, A.; Kharlamov, E.
2021. Web semantics, 71, Art.Nr. 100664. doi:10.1016/j.websem.2021.100664
Prof. Dr.-Ing. habil. Jürgen Beyerer zum 60. Geburtstag
Bretthauer, G.
2021. Automatisierungstechnik, 69 (10), 919–920. doi:10.1515/auto-2021-2050
Designing the Interplay of Energy Plane and Communication Plane in the Energy Packet Grid
Schneider, K.; Wiegel, F.; Schulz, D.; Hagenmeyer, V.; Hiller, M.; Bless, R.; Zitterbart, M.
2021. 2021 IEEE 46th Conference on Local Computer Networks (LCN), 331–334, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/LCN52139.2021.9525020
Modelling in the EnergyLab
Kühnapfel, U.
2021, October 5. The Modelling of Energy Transition: Cultures / Visions / Narratives (2021), Münster, Germany, October 4–6, 2021
Pilotstudie zur Evaluation einer medizinisch-beruflich orientierten Rehabilitation für Pflegekräfte
Wittmann, C.; Papst, L.; Reischl, M.; Welsch, K.; Käfer, M.; Köllner, V.
2021. Zeitschrift für psychosomatische Medizin und Psychotherapie, 68 (2), 128–140. doi:10.13109/zptm.2021.67.oa13
A Lightweight User Interface for Smart Charging of Electric Vehicles: A Real-World Application
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. 2021 9th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), 57–61, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSGCE52779.2021.9621604
Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 „Computational Intelligence“ [Editorial]
Mikut, R.; Kroll, A.; Schulte, H.
2021. Automatisierungstechnik, 69 (10), 817–819. doi:10.1515/auto-2021-0124
A new multivariable control concept for the falling film evaporator process
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2021. Journal of process control, 106, 72–83. doi:10.1016/j.jprocont.2021.08.015
Experimentelle Absicherung von CFD-Modellen für die thermische Umsetzung von Ersatzbrennstoffen (FLUFF)
Wirtz, S.; Scherer, V.; Aleksandrov, K.; Gehrmann, H.-J.; Stapf, D.; Zhang, M.; Vogelbacher, M.; Matthes, J.
2021. 30. Deutscher Flammentag / Deutsche Sektion des Combustion Institutes und DVV/VDI-Gesellschaft Energie und Umwelt. Ed.: F. Dinkelacker, Deutsche Vereinigung für Verbrennungsforschung e.V
Microservice-based Architecture for the Integration of Data Backends and Dashboard Applications in the Energy and Environment Domains
Sidler, J.; Braun, E.; Schmitt, C.; Schlachter, T.; Hagenmeyer, V.
2021, September 27. 35th Environmental Informatics : A bogeyman or saviour to achieve the UN Sustainable Development Goals? (EnviroInfo 2021), Berlin, Germany, September 27–29, 2021
Geometrical-based Simulation of Drop-on-Demand 3D Inkjet Printing
Elkaseer, A.; Schneider, S.; Scholz, S.
2021. Proceedings of the World Congress on Micro and Nano Manufacturing 2021: bringing together the worldwide community of micro- & nano-manufacturing experts, 20-23 September 2021, IIT Bombay, Mumbai, India
Effect of build platform location and part orientation on dimensional accuracy of downfacing surfaces in LPBF
Charles, A.; Elkaseer, A.; Thijs, L.; Scholz, S.
2021. Proceedings of the World Congress on Micro and Nano Manufacturing 2021, Bringing together the worldwide community of micro- & nano-manufacturing experts, 20-23 September 2021, IIT Bombay, Mumbai, India, Taylor and Francis
Mitigating heat demand peaks in buildings in a highly renewable European energy system
Zeyen, E.; Hagenmeyer, V.; Brown, T.
2021. Applied energy, 231, Art.Nr. 120784
Computational and Near-Optimal Trade-Offs in Renewable Electricity System Modelling. PhD dissertation
Neumann, F.
2021, September 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000137267
Quality Check of openBIM Input Data for Thermal Building Simulation based on mvdXML
Geiger, A.; Häfele, K.-H.; Hagenmeyer, V.
2021. Proceedings of Building Simulation 2021: 17th Conference of IBPSA, 1671–1678, International Building Performance Simulation Association (IBPSA). doi:10.26868/25222708.2021.30501
Novel Control-Oriented Models for Liquid Transport in Falling Film Evaporator Tubes
Ponomarev, A.; Hofmann, J.; Gröll, L.
2021. Computers & chemical engineering, 152, Article no: 107376. doi:10.1016/j.compchemeng.2021.107376
Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources
Appino, R. R.; Hagenmeyer, V.; Faulwasser, T.
2021. IEEE transactions on control of network systems, 8 (3), 1477–1488. doi:10.1109/TCNS.2021.3070664
Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night
Schutera, M.; Hussein, M.; Abhau, J.; Mikut, R.; Reischl, M.
2021. IEEE Transactions on Intelligent Vehicles, 6 (3), 480–489. doi:10.1109/TIV.2020.3039456
FlexKälte-Workshop: Flexibilisierung von Kälteversorgungssystemen
Frahm, M.; Zwickel, P.; Langner, F.
2021, August 26. Flexibilisierung von Kälteversorgungssystemen (2021), Oberhausen, Germany, August 26, 2021
Designing Inherently Photodegradable Cell‐Adhesive Hydrogels for 3D Cell Culture
Rosenfeld, A.; Göckler, T.; Kuzina, M.; Reischl, M.; Schepers, U.; Levkin, P. A.
2021. Advanced healthcare materials, 10 (16), Art.Nr. 2100632. doi:10.1002/adhm.202100632
A Bayesian Rule Learning Based Intrusion Detection System for the MQTT Communication Protocol
Liu, Q.; Keller, H. B.; Hagenmeyer, V.
2021. ARES 2021 : the 16th International Conference on Availability, Reliability and Security, Wien, A, August 17-20, 2021, Article no: 81, Association for Computing Machinery (ACM). doi:10.1145/3465481.3470046
Decreasing market value of variable renewables can be avoided by policy action
Brown, T.; Reichenberg, L.
2021. Energy economics, 100, Article: 105354. doi:10.1016/j.eneco.2021.105354
Two-stage mechanism design for energy trading of strategic agents in energy communities
Khorasany, M.; Razzaghi, R.; Shokri Gazafroudi, A.
2021. Applied Energy, 295, Art.-Nr.: 117036. doi:10.1016/j.apenergy.2021.117036
epiTracker: A Framework for Highly Reliable Particle Tracking for the Quantitative Analysis of Fish Movements in Tanks
Bruch, R.; Scheikl, P. M.; Mikut, R.; Loosli, F.; Reischl, M.
2021. SLAS technology, 26 (4), 367–376. doi:10.1177/2472630320977454
Automatisierte Grundrisserzeugung in der Entwurfsphase
Geiger, A.; Zhong, Y.
2021. BIM und KI in Wissenschaft & Unternehmenspraxis. Hrsg.: K. Teizer
Vehicle-to-Grid - A Case Study on Feasibility and Challenges
Schwenk, K.
2021, July. EUCOR - Working Seminar Smart Grids (2021), Online, July 8–9, 2021
Identification based thermal reflection compensation for radiation based temperature measurements in combustion chambers
Matthes, J.; Vogelbacher, M.; Waibel, P.; Gröll, L.
2021. Experimental thermal and fluid science, 125, Art.Nr. 110354. doi:10.1016/j.expthermflusci.2021.110354
Down-facing surfaces in laser powder bed fusion of Ti6Al4V: Effect of dross formation on dimensional accuracy and surface texture
Charles, A. P.; Elkaseer, A.; Paggi, U.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2021. Additive manufacturing, 46, Article: 102148. doi:10.1016/j.addma.2021.102148
Open Innovation & Crowdsourcing für Industrial Technologies – Praxisbeispiele aus Europäischen Projekten
Marquardt, C.
2021, June 28. Open Innovation Kongress Baden-Württemberg 2021 (2021), Online, June 28, 2021
Engineering of Reliable and Secure Software via Customizable Integrated Compilation Systems. PhD dissertation
Scherer, O.
2021, June 28. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000134165
The effects of pattern screen surface deformation on deflectometric measurements - A simulation study
Allgeier, S.; Gengenbach, U.; Köhler, B.; Reichert, K.-M.; Hagenmeyer, V.
2021. Automated Visual Inspection and Machine Vision IV: SPIE Optical Metrology, 21-26 June 2021. Ed.: J. Beyerer, Art.-Nr.: 1178708, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2591877
Wissens- und Technologietransfer Grenzübergreifend – Transnational- Programmübergreifend
Marquardt, C.
2021, June 17. Ideenlabor für Digitalisierung und nachhaltige Wirtschaft (2021), Online, June 17, 2021
Dynamic Model Based Detection of Cyberattacks in Industrial Facilities
Reibelt, K.; Keller, H. B.; Hagenmeyer, V.; Matthes, J.
2021, June 8. 31st European Symposium on Computer Aided Process Engineering (ESCAPE 2021), Istanbul, Turkey, June 6–9, 2021
Adaptive Feedforward Control for DC/DC Converters in Microgrids - A Power Hardware in the Loop Study
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2021. 9th International Conference on Smart Grid (icSmartGrid), 29th June - 01st July 2021, Sebútal, Portugal, 49–56, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/icSmartGrid52357.2021.9551250
atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
Hofmann, F.; Hampp, J.; Neumann, F.; Brown, T.; Hörsch, J.
2021. The journal of open source software, 6 (62), Art.-Nr.: 3294. doi:10.21105/joss.03294
Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface – A Real-World Application in the Energy Lab 2.0: Poster
Meisenbacher, S.; Schwenk, K.; Galenzowski, J.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2021. e-Energy ’21: The Twelfth ACM International Conference on Future Energy Systems Virtual Event Italy 28 June 2021- 2 July 2021, 284–285, Association for Computing Machinery (ACM). doi:10.1145/3447555.3466571
Design of transformation initiatives implementing organisational agility: an empirical study
Kovynyov, I.; Buerck, A.; Mikut, R.
2021. SN Business & Economics, 1 (6), Art.-Nr.: 79. doi:10.1007/s43546-021-00073-6
Long photoperiod impairs learning in male but not female medaka
López-Olmeda, J. F.; Zhao, H.; Reischl, M.; Pylatiuk, C.; Lucon-Xiccato, T.; Loosli, F.; Foulkes, N. S.
2021. iScience, 24 (7), Art. Nr.: 102784. doi:10.1016/j.isci.2021.102784
Security by design und agiles Vorgehen - Integration oder Widerspruch
Keller, H.
2021, June. Karlsruher Entwicklertag (2021), Online, June 9–10, 2021
Simulation and evaluation of a body energy harvesting device for arm and leg swing motions
Petani, L.; Essig, S.; Zeilfelder, J.; Kortenhaus, M.; Pylatiuk, C.
2021. AIP Advances, 11 (6), 065201. doi:10.1063/5.0050424
Evaluation of four point cloud similarity measures for the use in autonomous driving
Berens, F.; Elser, S.; Reischl, M.
2021. Automatisierungstechnik, 69 (6), 499–510. doi:10.1515/auto-2020-0140
Distributed power flow and distributed optimization – formulation, solution, and open source implementation
Mühlpfordt, T.; Dai, X.; Engelmann, A.; Hagenmeyer, V.
2021. Sustainable energy, grids and networks, 26, Article no: 100471. doi:10.1016/j.segan.2021.100471
The strong effect of network resolution on electricity system models with high shares of wind and solar
Frysztacki, M. M.; Hörsch, J.; Hagenmeyer, V.; Brown, T.
2021. Applied energy, 291, Article: 116726. doi:10.1016/j.apenergy.2021.116726
Energy-based stochastic MPC for integrated electricity-hydrogen VPP in real-time markets
Appino, R. R.; Wang, H.; González Ordiano, J. Á.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Mancarella, P.
2021. Electric power systems research, ^95, Art.Nr. 106738. doi:10.1016/j.epsr.2020.106738
Miniaturized Drug Sensitivity and Resistance Test on Patient-Derived Cells Using Droplet-Microarray
Popova, A. A.; Dietrich, S.; Huber, W.; Reischl, M.; Peravali, R.; Levkin, P. A.
2021. SLAS technology, 26 (3), 274–286. doi:10.1177/2472630320934432
Deep Learning & Alternatives for Image Analysis
Mikut, R.
2021, May 31. Life Sciences and Industry 4.0 (2021), Online, May 30–31, 2021
Dynamic Model Based Detection of Cyberattacks in Industrial Facilities
Reibelt, K.; Keller, H. B.; Hagenmeyer, V.; Matthes, J.
2021. 31st European Symposium on Computer Aided Process Engineering: ESCAPE-31. Ed.: M. Türkay, 1339–1344, Elsevier. doi:10.1016/B978-0-323-88506-5.50206-0
„Bashing“ the Killer from the Command Line
Schmidt, A.; Ehrlinger, L.; Laux, F.
2021, May 30
The Thirteenth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2021)
Crowe, M.; Laux, F.; Schmidt, A.; Dini, C. (Eds.)
2021. International Academy Research and Industry Association (IARIA)
Supporting the Information Search and Discovery Process with the Bash-Shell
Schmidt, A.
2021. Research Challenges in Information Science. Ed.: S. Cherfi, Springer Nature Switzerland AG
Machine Learning Methods for Product Quality Monitoring in Electric Resistance Welding. PhD dissertation
Zhou, B.
2021, May 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000132412
DiversityScanner: Robotic discovery of small invertebrates with machine learning methods
Wührl, L.; Pylatiuk, C.; Giersch, M.; Lapp, F.; Rintelen, T. von; Balke, M.; Schmidt, S.; Cerretti, P.; Meier, R.
2021. doi:10.1101/2021.05.17.444523
Costs of regional equity and autarky in a renewable European power system
Neumann, F.
2021. Energy strategy reviews, 35, Article no: 100652. doi:10.1016/j.esr.2021.100652
Morphological characterization of the human corneal epithelium by in vivo confocal laser scanning microscopy
Sterenczak, K. A.; Winter, K.; Sperlich, K.; Stahnke, T.; Linke, S.; Farrokhi, S.; Klemm, M.; Allgeier, S.; Köhler, B.; Reichert, K.-M.; Guthoff, R. F.; Bohn, S.; Stachs, O.
2021. Quantitative imaging in medicine and surgery, 11 (5), 1737–1750. doi:10.21037/qims-20-1052
Smart agriculture
Beyerer, J.; Bretthauer, G.; Längle, T.
2021. Automatisierungstechnik, 69 (4), 275–277. doi:10.1515/auto-2021-2049
Introduction of the technical diving method for scientific diving to investigate biocoenosis in the twilight zone of freshwater lakes
Brümmer, F.; Remmers, D.; Müller, R.-W.; Scholz, S.
2021. 6th European Conference on Scientific Diving - TU Bergakademie Freiberg
DaNa4.0 - advanced materials knowledge base in a new outfit
Nau, K.; Krug, H. F.; Kühnel, D.; Marquardt, C.; Mattern, A.; Steinbach, C.
2021, April 22. 10th International Conference on Nanotoxicology (NanoTox 2021), Online, April 20–22, 2021
Ratio-based features for data-driven bridge monitoring and damage detection
Döring, A.; Waibel, P.; Matthes, J.; Scherer, O.; Keller, H. B.; Keller, S.; Müller, J.; Schneider, O.
2021. Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. Ed.: H. Yokota, 2532–2541, CRC Press. doi:10.1201/9780429279119-346
Unravelling the opposing effects of network clustering on electricity system models with high shares of renewables
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T.
2021, April. European Geosciences Union General Assembly (EGU 2021), Online, April 19–30, 2021
Ratio-based features for data-driven bridge monitoring and damage detection
Döring, A.; Waibel, P.; Matthes, J.; Bleszynski, L.; Scherer, O.; Keller, H. B.; Keller, S.; Müller, J.; Schneider, O.
2021, April. 10th Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations (IABMAS 2021), Online, April 11–18, 2021
One aspect of 3D printing during the COVID-19 Pandemic
Müller, T.; Charles, A. P.; Scholz, S.
2021, March 23. Re-Imagining the Futures of 3D Printing in Society - Scientific symposium and expert scenario workshop (2021), Online, March 23–24, 2021
Evaluation of Deep Learning-Based Segmentation Methods for Industrial Burner Flames
Großkopf, J.; Matthes, J.; Vogelbacher, M.; Waibel, P.
2021. Energies, 14 (6), 1716. doi:10.3390/en14061716
A New Distributed Co-Simulation Architecture for Multi-Physics based Energy Systems Integration
Çakmak, H.; Erdmann, A.; Kyesswa, M.; Kühnapfel, U.; Hagenmeyer, V.
2021, February 25. 55. Regelungstechnisches Kolloquium (2021), Online, February 25, 2021
Machine learning-based automated segmentation with a feedback loop for 3D synchrotron micro-CT. PhD dissertation
Shkarin, R.
2021, February 18. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000129244
Effect of different cooling strategies on surface quality and power consumption in finishing end milling of stainless steel 316
Abbas, A. T.; Anwar, S.; Abdelnasser, E.; Luqman, M.; Abu Qudeiri, J. E.; Elkaseer, A.
2021. Materials, 14 (4), Art. Nr.: 903. doi:10.3390/ma14040903
Equality test with an anonymous authorization in cloud computing
Abdalla, H.; Xiong, H.; Wahaballa, A.; Ramadan, M.; Qin, Z.
2021. Wireless Networks, 27 (2), 1063–1076. doi:10.1007/s11276-020-02462-5
Softwarezuverlässigkeit - Software Reliability
Keller, H.
2021. VDI-Richtlinien, VDI 4011
A Novel Receiver Design for Energy Packet‐Based Dispatching
Wiegel, F.; De Din, E.; Monti, A.; Wehrle, K.; Hiller, M.; Zitterbart, M.; Hagenmeyer, V.
2021. Energy technology, 9 (2), Art.-Nr. 2000937. doi:10.1002/ente.202000937
Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting
Schutera, M.; Hafner, F. M.; Abhau, J.; Hagenmeyer, V.; Mikut, R.; Reischl, M.
2021. Image and vision computing, 106, Article no: 104079. doi:10.1016/j.imavis.2020.104079
Structure Exploitation in Mixed-Integer Optimization with Applications to Energy Systems. PhD dissertation
Murray, A.
2021, January 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000125528
A Parallel Hybrid Method for Fast Analysis of Power System Dynamics. PhD dissertation
Kyesswa, M.
2021, January 21. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000128495
Analysis of Oscillating Combustion for NOx-Reduction in Pulverized Fuel Boilers
Jolibois, N.; Aleksandrov, K.; Hauser, M.; Stapf, D.; Seifert, H.; Matthes, J.; Waibel, P.; Vogelbacher, M.; Keller, H. B.; Gehrmann, H.-J.
2021. Inventions, 6 (9), Article no: 9. doi:10.3390/inventions6010009
Distributed Optimization with Application to Power Systems and Control. PhD dissertation
Engelmann, A.
2021, January 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000127849/v2
Parkinson’s disease with restless legs syndrome - an in vivo corneal confocal microscopy study
Andréasson, M.; Lagali, N.; Badian, R. A.; Utheim, T. P.; Scarpa, F.; Colonna, A.; Allgeier, S.; Bartschat, A.; Köhler, B.; Mikut, R.; Reichert, K.-M.; Solders, G.; Samuelsson, K.; Zetterberg, H.; Blennow, K.; Svenningsson, P.
2021. npj Parkinson’s Disease, 7 (1), Art.-Nr. 4. doi:10.1038/s41531-020-00148-5
Efficient Optimization Model for Buffer Size Problem in Production Line with Rework Path
Alkhalefah, H.; Abidi, M. H.; Umer, U.; Elkaseer, A.
2021. Proceedings 4th European International Conference on Industrial Engineering and Operations Management, IEOM 2021: 2-5 August 2021, Virtual. Ed.: M. Fargnoli, 2539–2551, IEOM Society International
Development of an Optimization Model for Multiple Production Systems with Split and Merge
Alkhalefah, H.; Abidi, M. H.; Umer, U.; Elkaseer, A.
2021. Proceedings of the International Conference on Industrial Engineering and Operations Management: Bangalore, India, August 16-18, 2021, 784–794, IEOM Society International
Wertstromkinematik – Produktionssysteme neu gedacht: Interdisziplinäres Forscherteam arbeitet an der Produktionstechnik der Zukunft (Teil 2)
Kimmig, A.; Schöck, M.; Mühlbeier, E.; Oexle, F.; Fleischer, J.; Bönsch, J.; Ovtcharova, J.; Hahn, J.; Grunwald, A.; Albers, A.; Rapp, S.; Hagenmeyer, V.; Scholz, S. G.; Schmidt, A.; Müller, T.; Becker, J.; Schade, F.; Beyerer, J.; Rehak, J.; Zwick, T.; Pauli, M.; Nuß, B.; Lanza, G.; Schild, L.; Overbeck, L.
2021. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 116 (12), 935–939. doi:10.1515/zwf-2021-0207
Iterative Game Approach for Modeling the Behavior of Agents in a Competitive Flexibility Trading
Ebrahimi, M.; Gazafroudi, A. S.; Ebrahimi, M.; Laaksonen, H.; Shafie-Khah, M.; Catalao, J. P. S.
2021. IEEE access, 9, 165227–165238. doi:10.1109/ACCESS.2021.3134937
Automatisierte Grundrisserzeugung in der Entwurfsphase
Geiger, A.
2021. buildingSMART Thementag Online: BIM und KI (2021), Online, September 28, 2021
IFC-Roundtrip mit Plangrafiken
Geiger, A.; Eichler, C.; Fritzenwallner, R.; Häfele, K.-H.
2021. 32. Forum Bauinformatik, Darmstadt, 09.-10. September 2021
Rational Designed Hybrid Peptides Show up to a 6-Fold Increase in Antimicrobial Activity and Demonstrate Different Ultrastructural Changes as the Parental Peptides Measured by BioSAXS
Hilpert, K.; Gani, J.; Rumancev, C.; Simpson, N.; Lopez-Perez, P. M.; Garamus, V. M.; Gundlach, A. R. von; Markov, P.; Scocchi, M.; Mikut, R.; Rosenhahn, A.
2021. Frontiers in pharmacology, 12, Article no: 769739. doi:10.3389/fphar.2021.769739
Local market models
Gazafroudi, A. S.; Khajeh, H.; Shafie-khah, M.; Laaksonen, H.; Corchado, J. M.
2021. Local Electricity Markets. Ed.: T. Pinto, 79–90, Academic Press. doi:10.1016/B978-0-12-820074-2.00010-1
Fundamental investigation into tool wear and surface quality in high-speed machining of Ti6Al4V alloy
Abbas, A. T.; Al Bahkali, E. A.; Alqahtani, S. M.; Abdelnasser, E.; Naeim, N.; Elkaseer, A.
2021. Materials, 14 (23), 7128. doi:10.3390/ma14237128
Ein Blick in die Zukunft der Mikrofertigungstechnologien
Tobias Mueller
2021. OST Polymerics Coffee Lectures 2021 (2021), Online, April 8–July 1, 2021
Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei : A quantitative analysis
Böhland, M.; Tharun, L.; Scherr, T.; Mikut, R.; Hagenmeyer, V.; Thompson, L. D. R.; Perner, S.; Reischl, M.
2021. PLOS ONE, 16 (9), e0257635. doi:10.1371/journal.pone.0257635
An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies
Shahoud, S.; Winter, M.; Khalloof, H.; Duepmeier, C.; Hagenmeyer, V.
2021. Internet of Things (Netherlands), 16, Art.Nr. 100432. doi:10.1016/j.iot.2021.100432
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Neumann, O.; Turowski, M.; Ludwig, N.; Heidrich, B.; Hagenmeyer, V.; Mikut, R.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 113–130, KIT Scientific Publishing
Industry 4.0-Oriented Deep Learning Models for Human Activity Recognition
Mohsen, S.; Elkaseer, A.; Scholz, S. G.
2021. IEEE Access, 9, 150508–150521. doi:10.1109/ACCESS.2021.3125733
ALADIN-α—An open-source MATLAB toolbox for distributed non-convex optimization
Engelmann, A.; Jiang, Y.; Benner, H.; Ou, R.; Houska, B.; Faulwasser, T.
2021. Optimal Control Applications and Methods, 43 (1), 4–22. doi:10.1002/oca.2811
Concepts for Automated Machine Learning in Smart Grid Applications
Meisenbacher, S.; Pinter, J.; Martin, T.; Hagenmeyer, V.; Mikut, R.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 11–35, KIT Scientific Publishing
Quantification Platform for Touch Response of Zebrafish Larvae using Machine Learning
Wang, Y.; Pylatiuk, C.; Mikut, R.; Peravali, R.; Reischl, M.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte, Horst; F. Hoffmann; R. Mikut, 37–54, KIT Scientific Publishing
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks
Schilling, M. P.; Rettenberger, L.; Münke, F.; Cui, H.; Popova, A. A.; Levkin, P. A.; Mikut, R.; Reischl, M.
2021. Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021. Hrsg.: H. Schulte; F. Hoffmann; R. Mikut, 211–234, KIT Scientific Publishing
Classification of Bundle Branch Blocks with QRS Templates Extracted from 12-lead ECGs
Welle, H.; Nagel, C.; Loewe, A.; Mikut, R.; Dössel, O.
2021. Biomedical engineering, 66 (s1), S228–S233. doi:10.1515/bmt-2021-6033
Influence of contact cap design on large-area imaging of the subbasal nerve plexus
Bohn, S.; Sperlich, K.; Allgeier, S.; Bartschat, A.; Reichert, K.-M.; Kornelius, L.; Mikut, R.; Köhler, B.; Stachs, O.
2021. Biomedical engineering, 66 (s1), S124. doi:10.1515/bmt-2021-6018
A software framework for real-time image mosaicking of the corneal subbasal nerve plexus
Köhler, B.; Kornelius, L.; Bartschat, A.; Bohn, S.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stachs, O.; Allgeier, S.
2021. Biomedical engineering, 66 (s1), S121
Case Study of Designing a Locally Distributed Real-Time Infrastructure
Weber, M.; Kyesswa, M.; Kühnapfel, U.; Hagenmeyer, V.; Çakmak, H. K.
2021. IEEE Toronto Section, 20 th- 21st October 2021, 310–315, IEEEXplore. doi:10.1109/EPEC52095.2021.9621665
Results of a Case Study integrating Building Information Models into a Geo Referenced Campus Model
Semnani, N. M.; Wang, K.; Häfele, K.-H.; Breunig, M.
2021. 16th 3D GEOINFO Conference (3D GeoInfo 2021), Online, October 11–14, 2021
Systematic assessment of the biocompatibility of materials for inkjet-printed ozone sensors for medical therapy
Petani, L.; Wehrheim, V.; Koker, L.; Reischl, M.; Ungerer, M.; Gengenbach, U.; Pylatiuk, C.
2021. Flexible and printed electronics, 6 (4), Art.-Nr.: 043003. doi:10.1088/2058-8585/ac32ab
FAIR Metadata Standards for Low Carbon Energy Research—A Review of Practices and How to Advance
Wierling, A.; Schwanitz, V. J.; Altinci, S.; Bałazińska, M.; Barber, M. J.; Biresselioglu, M. E.; Burger-Scheidlin, C.; Celino, M.; Demir, M. H.; Dennis, R.; Dintzner, N.; Gammal, A. el; Fernández-Peruchena, C. M.; Gilcrease, W.; Gładysz, P.; Hoyer-Klick, C.; Joshi, K.; Kruczek, M.; Lacroix, D.; Markowska, M.; Mayo-García, R.; Morrison, R.; Paier, M.; Peronato, G.; Ramakrishnan, M.; Reid, J.; Sciullo, A.; Solak, B.; Suna, D.; Süß, W.; Unger, A.; Fernandez Vanoni, M. L.; Vasiljevic, N.
2021. Energies, 14 (20), Art. Nr.: 6692. doi:10.3390/en14206692
An evaluation of graph algorithms for the wind farm cable layout problem under electrical aspects
Gritzbach, S.; Cakmak, H.; Mehnert, P.; Ueckerdt, T.; Hagenmeyer, V.
2021. 2021 56th International Universities Power Engineering Conference (UPEC): 31 Aug.-3 Sept. 2021, online, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC50034.2021.9548251
Mathematical Model for Agent-based Local Energy Exchange Engine (D3A)
Gazafroudi, A. S.; Okwuibe, G. C.; Hambridge, S.; Dietrich, C.; Trbovich, A.; Tzscheutschler, P.; Hamacher, T.; Shafie-khah, M.
2021. SEST’21: 4th International Conference on Smart Energy Systems and Technologies ; 6-8 September 2021. Ed.: IEEE, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEST50973.2021.9543262
Diagnose-Spektrum somatischer Komorbiditäten bei unterschiedlichen AVEM Mustern in der Psychosomatischen Rehabilitation
Wittmann, C.; Reischl, M.; Welsch, K.; Käfer, M.; Köllner, V.
2021. Praxis klinische Verhaltensmedizin und Rehabilitation, 114 (2), 58–67
Approaches towards Resource-saving and Explainability/Transparency of Deep-learning-based Image Classification in Industrial Applications
Rieder, C.; Germann, M.; Mezger, S.; Scherer, K.
2021. Proceedings of the 2nd International Conference on Deep Learning Theory and Applications. Ed.: A. Fred, 164–169, SciTePress. doi:10.5220/0010575901640169
Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021
Schulte, H.; Hoffmann, F.; Mikut, R. (Eds.)
2021. KIT Scientific Publishing. doi:10.5445/KSP/1000138532
Inherently UV Photodegradable Poly(methacrylate) Gels
Scheiger, J. M.; Li, S.; Brehm, M.; Bartschat, A.; Theato, P.; Levkin, P. A.
2021. Advanced Functional Materials, 31 (49), Art.-Nr.: 2105681. doi:10.1002/adfm.202105681
Time-Delay Identification and Validation of a Liquid Film Transport Model based on Pilot Plant Experiments
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2021. IFAC-PapersOnLine, 54 (3), 401–408. doi:10.1016/j.ifacol.2021.08.275
An Automated Experimentation System for the Touch-Response Quantification of Zebrafish Larvae
Wang, Y.; Marcato, D.; Tirumalasetty, V.; Kanagaraj, N. K.; Pylatiuk, C.; Mikut, R.; Peravali, R.; Reischl, M.
2021. IEEE transactions on automation science and engineering, 19 (4), 3007–3019. doi:10.1109/TASE.2021.3104507
Comparing Time Series Classification and Forecasting to Automatically Detect Distributed Generation
Petrusev, A.; Bauer, R.; Rigo-Mariani, R.; Debusschere, V.; Reignier, P.; Hadjsaid, N.
2021. 2021 IEEE Madrid PowerTech: Conference Proceedings ; 28 June-2 July 2021, online, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PowerTech46648.2021.9494895
Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles
Schwenk, K.; Meisenbacher, S.; Briegel, B.; Harr, T.; Hagenmeyer, V.; Mikut, R.
2021. IEEE transactions on smart grid, 12 (6), 5135–5145. doi:10.1109/TSG.2021.3099206
Data-Driven Copy-Paste Imputation for Energy Time Series
Weber, M.; Turowski, M.; Çakmak, H. K.; Mikut, R.; Kühnapfel, U.; Hagenmeyer, V.
2021. IEEE transactions on smart grid, 12 (6), 5409–5419. doi:10.1109/TSG.2021.3101831
Modeling of a distillation column without measurement data
Schaßberger, J.; Hagenmeyer, V.; Gröll, L.
2021. Internatiional Scientific Conference on Control Processes and Stability, 167–173, Publishing House Fedorova G.V
pyWATTS: Python Workflow Automation Tool for Time Series
Heidrich, B.; Bartschat, A.; Turowski, M.; Neumann, O.; Phipps, K.; Meisenbacher, S.; Schmieder, K.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2021. Cornell University
Introduction of the technical diving method for scientific diving to investigate biocoenosis in the twilight zone of freshwater lakes
Brümmer, F.; Remmers, D.; Müller, R.-W.; Scholz, S.
2021. Freiberg online geoscience, 58, 46–53
Structural analysis of a genetically encoded fret biosensor by SAXS and MD simulations
Reinartz, I.; Sarter, M.; Otten, J.; Höfig, H.; Pohl, M.; Schug, A.; Stadler, A. M.; Fitter, J.
2021. Sensors, 21 (12), Art.Nr. 4144. doi:10.3390/s21124144
Advanced Methods for Kiln-Shell Monitoring to Optimize the Waelz Process for Zinc Recycling
Vogelbacher, M.; Keller, S.; Zehm, W.; Matthes, J.
2021. Processes, 9 (6), 1062. doi:10.3390/pr9061062
I-care-an interaction system for the individual activation of people with dementia
Schultz, T.; Putze, F.; Steinert, L.; Mikut, R.; Depner, A.; Kruse, A.; Franz, I.; Gaerte, P.; Dimitrov, T.; Gehrig, T.; Lohse, J.; Simon, C.
2021. Geriatrics (Switzerland), 6 (2), 51. doi:10.3390/geriatrics6020051
Energy Hub Gas : A Multi-Domain System Modelling and Co-Simulation Approach
Poppenborg, R.; Ruf, J.; Chlosta, M.; Liu, J.; Hotz, C.; Düpmeier, C.; Kolb, T.; Hagenmeyer, V.
2021. Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES ’21), Art.Nr. 12, Association for Computing Machinery (ACM). doi:10.1145/3470481.3472712
Control Loop Pairing and Interaction Analyses of the Falling Film Evaporator Process
Hofmann, J.; Gröll, L.; Hagenmeyer, V.
2021. Proceedings of the 23rd International Conference on Process Control, 2021. Ed.: R. Paulen, 186–193, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PC52310.2021.9447487
Realtime Testbench for Inverters - A Sliding Mode Control Experiment
Wachter, J.; Gröll, L.; Hagenmeyer, V.
2021. 52th International Scientific Conference on Control Processes and Stability (CPS’21), St. Petersburg, RUS, April 5-9, 2021, 93–99, Publishing House Fedorova G.V
Abstractions in Modeling of Switching DC/AC Power Converters
Kastner, A.; Gröll, L.; Hagenmeyer, V.
2021. Control Processes and Stability : Proceedings of the LII International Conference. St. Petersburg April 5–9, 2021. Ed.: N. Smirnov, 85–92, Publishing House Fedorova G.V
Performance of Different Diagnostic PD-L1 Clones in Head and Neck Squamous Cell Carcinoma
Ribbat-Idel, J.; Dressler, F. F.; Krupar, R.; Watermann, C.; Paulsen, F.-O.; Kuppler, P.; Klapper, L.; Offermann, A.; Wollenberg, B.; Rades, D.; Laban, S.; Reischl, M.; Bruchhage, K.-L.; Idel, C.; Perner, S.
2021. Frontiers in Medicine, 8, Art.-Nr.: 640515. doi:10.3389/fmed.2021.640515
Burst of corneal dendritic cells during Trastuzumab and Paclitaxel treatment
Sterenczak, K. A.; Stache, N.; Bohn, S.; Allgeier, S.; Köhler, B.; Bartschat, A.; George, C.; Guthoff, R. F.; Stachs, O.; Stachs, A.
2021. Diagnostics, 11 (5), Art.Nr. 838. doi:10.3390/diagnostics11050838
Partially distributed outer approximation
Murray, A.; Faulwasser, T.; Hagenmeyer, V.; Villanueva, M. E.; Houska, B.
2021. Journal of Global Optimization, 80 (3), 523–550. doi:10.1007/s10898-021-01015-0
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
Isele, S.; Schilling, M.; Klein, F.; Saralajew, S.; Zoellner, J.
2021. Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), April 28-30, 2021, 22–33, SciTePress. doi:10.5220/0010395100220033
Development of an Efficient Prediction Model for Optimal Design of Serial Production Lines
Alkhalefah, H.; Abu Qudeiri, J. E.; Umer, U.; Abidi, M. H.; Elkaseer, A.
2021. IEEE Access, 9, 61807–61818. doi:10.1109/ACCESS.2021.3074356
Biophotonic sensors with integrated SiN-organic hybrid (SiNOH) lasers for point-of-care diagnostics
Kohler, D.; Schindler, G.; Hahn, L.; Milvich, J.; Hofmann, A.; Länge, K.; Freude, W.; Koos, C.
2021. Light: Science and Applications, 10 (1), Art.-Nr.: 64. doi:10.1038/s41377-021-00486-w
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches
VSharma, V.; Gonzalez Ordiano, J. A.; Mikut, R.; Cali, U.
2021. Karlsruher Institut für Technologie (KIT)
Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories
Bräckle, D.; Himmelmann, P.; Gröll, L.; Hagenmeyer, V.; Hiller, M.
2021. IEEE Open Journal of Power Electronics, 2, 171–186. doi:10.1109/OJPEL.2021.3065115
On Optimal Grid Partitioning for Distributed Optimization of Reactive Power Dispatch
Murray, A.; Kyesswa, M.; Çakmak, H.; Hagenmeyer, V.
2021. IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 16-18 February, 2021, Washington, DC, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT49243.2021.9372275
Enhancement of High-Resolution 3D Inkjet-rinting of Optical Freeform Surfaces Using Digital Twins
Sieber, I.; Thelen, R.; Gengenbach, U.
2021. Micromachines, 12 (1), Art.-Nr.: 35. doi:10.3390/mi12010035
Modeling and Simulation of Sector-Coupled Energy Networks: A Gas-Power Benchmark
Fokken, E.; Mühlpfordt, T.; Faulwasser, T.; Göttlich, S.; Kolb, O.
2021. Mathematical Modeling, Simulation and Optimization for Power Engineering and Management. Ed.: S. Göttlich, 263–284, Springer International Publishing. doi:10.1007/978-3-030-62732-4_12
Informatik 2020 - Bericht der Session zum Thema Software Engineering
Becker, S.; Keller, H.
2021. Informatik 2020. Hrsg.: R.H. Reussner, A. Koziolek, 35–37, Gesellschaft für Informatik (GI)
Atypical cellular elements of unknown origin in the subbasal nerve plexus of a diabetic cornea diagnosed by large-area confocal laser scanning microscopy
Sterenczak, K. A.; Stachs, O.; Marfurt, C.; Matuszewska-Iwanicka, A.; Stratmann, B.; Sperlich, K.; Guthoff, R. F.; Hettlich, H.-J.; Allgeier, S.; Stahnke, T.
2021. Diagnostics, 11 (2), Article no: 154. doi:10.3390/diagnostics11020154
A Generic Scalable Method for Scheduling Distributed Energy Resources Using Parallelized Population-Based Metaheuristics
Khalloof, H.; Jakob, W.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2021. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2. Ed.: K. Arai, 1–21, Springer Nature. doi:10.1007/978-3-030-63089-8_1
Incorporating Unsupervised Deep Learning into Meta Learning for Energy Time Series Forecasting
Shahoud, S.; Khalloof, H.; Duepmeier, C.; Hagenmeyer, V.
2021. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. Ed.: K. Arai, 326–345, Springer Nature. doi:10.1007/978-3-030-63128-4_25
Additive Manufacturing: Comparative Study of an IoT Integrated Approach and a Conventional Solution
Shandilya, H.; Kuchta, M.; Elkaseer, A.; Müller, T.; Scholz, S. G.
2021. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2. Ed.: K. Arai, 976–986, Springer International Publishing. doi:10.1007/978-3-030-63089-8_64
Heterogeneous Dual-Frequency IoT Network for Vital Data Acquisition
Salem, M.; El-Maddah, I.; Youssef, K.; Elkaseer, A.; Scholz, S.; Mohamed, H.
2021. Sustainable Design and Manufacturing 2020. Ed.: S. Scholz, 333–343, Springer Nature. doi:10.1007/978-981-15-8131-1_30
The near-optimal feasible space of a renewable power system model
Neumann, F.; Brown, T.
2021. Electric power systems research, 190, Art.Nr. 106690. doi:10.1016/j.epsr.2020.106690
2020
Impact of grid partitioning algorithms on combined distributed AC optimal power flow and parallel dynamic power grid simulationn
Kyesswa, M.; Murray, A.; Schmurr, P.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IET generation, transmission and distribution, 14 (25), 6133–6141. doi:10.1049/iet-gtd.2020.1393
Ein neues Konzept für die Optimierung intelligenter Aktoren im Bereich beweglicher elektrischer Verbraucher. PhD dissertation
Manz, F.
2020, December 21. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000127792
1,5°Csellsius: Energiewende zellulär - partizipativ - vielfältig umgesetzt
Ardone, A.; Ahrens, M.; Düpmeier, C.; Fichtner, W.; Hubschneider, S.; Keles, D.; Kraft, E.; Lehmann, N.; Leibfried, T.; Schmeck, H.
2020. (B. Haller, O. Langniß, A. Reuter, N. Spengler & Autoren: siehe Autorenverzeichnis, seitens KIT:, Eds.), Smart Grids-Plattform
Open database analysis of scaling and spatio-temporal properties of power grid frequencies
Rydin Gorjão, L.; Jumar, R.; Maass, H.; Hagenmeyer, V.; Yalcin, G. C.; Kruse, J.; Timme, M.; Beck, C.; Witthaut, D.; Schäfer, B.
2020. Nature Communications, 11 (1), Art.-Nr. 6362. doi:10.1038/s41467-020-19732-7
Early decarbonisation of the European energy system pays off
Victoria, M.; Zhu, K.; Brown, T.; Andresen, G. B.; Greiner, M.
2020. Nature Communications, 11 (1), Art.-Nr. 6223. doi:10.1038/s41467-020-20015-4
In vivo Histology of the Cornea – from the “Rostock Cornea Module” to the “Rostock Electronic Slit Lamp” – a Clinical “Proof of Concept” Study
Bohn, S.; Stahnke, T.; Sperlich, K.; Linke, S. J.; Farrokhi, S.; Klemm, M.; Allgeier, S.; Köhler, B.; Reichert, K.-M.; Witt, M.; Stachs, O.; Guthoff, R. F.
2020. Klinische Monatsblätter für Augenheilkunde, 237 (12), 1442–1454. doi:10.1055/a-1297-4717
Hybrid low-voltage physical unclonable function based on inkjet-printed metal-oxide transistors
Scholz, A.; Zimmermann, L.; Gengenbach, U.; Koker, L.; Chen, Z.; Hahn, H.; Sikora, A.; Tahoori, M. B.; Aghassi-Hagmann, J.
2020. Nature Communications, 11 (1), Art.-Nr. 5543. doi:10.1038/s41467-020-19324-5
Architectured Lattice Materials with Tunable Anisotropy: Design and Analysis of the Material Property Space with the Aid of Machine Learning
Kulagin, R.; Beygelzimer, Y.; Estrin, Y.; Schumilin, A.; Gumbsch, P.
2020. Advanced engineering materials, 22 (12), Art.Nr. 2001069. doi:10.1002/adem.202001069
Decomposition of non-convex optimization via bi-level distributed ALADIN
Engelmann, A.; Jiang, Y.; Houska, B.; Faulwasser, T.
2020. IEEE transactions on control of network systems, 7 (4), 1848–1858. doi:10.1109/TCNS.2020.3005079
Automated high-throughput heartbeat quantification in medaka and zebrafish embryos under physiological conditions
Gierten, J.; Pylatiuk, C.; Hammouda, O. T.; Schock, C.; Stegmaier, J.; Wittbrodt, J.; Gehrig, J.; Loosli, F.
2020. Scientific reports, 10 (1), Article no: 2046. doi:10.1038/s41598-020-58563-w
Analyse des Flug- und Abbrandverhaltens von Ersatzbrennstoffen auf Basis eines Lichtfeldkamerasystems
Zhang, M.; Vogelbacher, M.; Aleksandrov, K.; Gehrmann, H.-J.; Matthes, J.
2020. Forum Bildverarbeitung 2020. Hrsg.: T. Längle, 105–117, KIT Scientific Publishing
Approaches for Solution-Processed Encapsulation of Printed Medical Wearable Devices
Chen, Z.; Gengenbach, U.; Koker, L.; Mansour, M.
2020. Current directions in biomedical engineering, 6 (3), 131–134. doi:10.1515/cdbme-2020-3034
Model Predictive Control Strategies for Power to Heat of Buildings
Frahm, M.
2020, November 20. Symposium "Energie-Campus" der Stiftung Energie & Klimaschutz im Rahmen des Ideenwettbewerbs "Energie und Umwelt - Meine Idee für morgen" (2020), Stuttgart, Germany, November 20, 2020
Microservice-based Reference Architecture for Semantics-aware Measurement Systems. PhD dissertation
Braun, E.
2020, November 17. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000125950
3D Imaging Technique for High-Resolution Slit Lamp Microscopy in Ophthalmology
Kornelius, L.; Allgeier, S.; Bohn, S.; Reichert, K.-M.; Sperlich, K.; Stachs, O.; Köhler, B.
2020. Biomedical engineering, 65 (s1), S126
Lessons learned from zebrafish image analysis projects
Mikut, R.
2020, November. 3rd BIOMEDAQU Course - Summer School Bone Visualisation and Imaging of Skeletal Development (2020), Online, November 17–20, 2020
Convergence of Mixed-Integer ALADIN
Murray, A.; Hagenmeyer, V.
2020. 4th International Conference on Algorithms, Computing and Systems, Berlin, 18.-20. September 2020, Association for Computing Machinery (ACM)
A New Distributed Optimization Algorithm for MINLPs with Affinely Coupled Decision Variables
Murray, A.; Hagenmeyer, V.
2020. 4th International Conference on Algorithms, Computing and Systems, Berlin, 18.-20. September 2020, Association for Computing Machinery (ACM)
WaSam, a Modularly Designed Fluid Downhole Sampler for Deep Geothermal Applications
Berentelg, G.; Spatafora, L.; Hagenmeyer, V.
2020. Geothermal Resources Council Virtual Annual Meeting and Expo: Clean, Renewable and Always On, GRC 2020; Virtual, Online; ; 19 October 2020 through 23 October 2020, 535–541, Geothermal Resources Council (GRC)
On Verification of Designed Energy Systems Using Distributed Co-Simulations
Erdmann, A.; Marcellan, A.; Hering, D.; Suriyah, M.; Ulbrich, C.; Henke, M.; Xhonneux, A.; Müller, D.; Schlatmann, R.; Hagenmeyer, V.
2020. 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 25–32, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DS-RT50469.2020.9213689
Semi-Automatic Generation Of Tight Binary Masks And Non-Convex Isosurfaces For Quantitative Analysis Of 3d Biological Samples
Bhide, S.; Mikut, R.; Leptin, M.; Stegmaier, J.
2020. 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, United Arab Emirates, 25-28 Oct. 2020, 2820–2824, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICIP40778.2020.9190951
Towards Smart Buildings: A Versatile Acquisition Setup for Indoor Climate Data
Sauer, D.; Jumar, R.; Lutz, R.; Schlachter, T.; Schmitt, C.; Hagenmeyer, V.
2020. 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), The Hague, Netherlands, Netherlands, 26-28 Oct. 2020, 1196–1200, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248925
Point and contextual anomaly detection in building load profiles of a university campus
Wang, L.; Turowski, M.; Zhang, M.; Riedel, T.; Beigl, M.; Mikut, R.; Hagenmeyer, V.
2020. 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 11–15, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248792
Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study
Zhou, B.; Svetashova, Y.; Byeon, S.; Pychinski, T.; Mikut, R.; Kharlamov, E.
2020, October. 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Online, October 19–23, 2020
Predicting Quality of Automated Welding with Machine Learning and Semantics – A Bosch Case Study
Zhou, B.; Svetashova, Y.; Byeon, S.; Pychynski, T.; Mikut, R.; Kharlamov, E.
2020. CIKM ’20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. Ed.: M. d’Aquin, 2933–2940, Association for Computing Machinery (ACM). doi:10.1145/3340531.3412737
SemFE: Facilitating ML Pipeline Development with Semantics
Zhou, B.; Svetashova, Y.; Pychinski, T.; Baimuratov, I.; Soylu, A.; Kharlamov, E.
2020, October. 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Online, October 19–23, 2020
SemFE – Facilitating ML Pipeline Development with Semantics
Zhou, B.; Svetashova, Y.; Pychynski, T.; Baimuratov, I.; Soylu, A.; Kharlamov, E.
2020. CIKM ’20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. Ed.: M. d’Aquin, 3489–3492, Association for Computing Machinery (ACM). doi:10.1145/3340531.3417436
Dynamic Modeling of Wind and Solar Power Generation with Grid Support for Large-Scale Integration in Power Systems
Kyesswa, M.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IEEE PES Innovative Smart Grid Technologies (ISGT-Europe ), 569–573, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248883
Automated fabrication of hybrid printed electronic circuits
Gengenbach, U.; Ungerer, M.; Koker, L.; Reichert, K.-M.; Stiller, P.; Allgeier, S.; Köhler, B.; Zhu, X.; Huang, C.; Hagenmeyer, V.
2020. Mechatronics, 70, 102403. doi:10.1016/j.mechatronics.2020.102403
Data-Driven Methods for Demand-Side Flexibility in Energy Systems. PhD dissertation
Ludwig, N. N.
2020, September 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000123985
Mobile, Volatile, and Incomplete Data on the Web
Crowe, M.; Ehrlinger, L.; Laux, F.; Schmidt, A.
2020, September 27. 12th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2020), Online, September 27, 2020
A Review on Country Specific Data Availability and Acquisition Techniques for City Quarter Information Modelling for Building Energy Analysis
Malhotra, A.; Bischof, J.; Allan, J.; O’Donnell, J.; Schwenglers, T.; Benner Joachim; Schweiger, G.
2020, September 25. BauSIM (2020), Online, September 23–25, 2020
FlexKälte: Flexibilisierung vorhandener Kälteanlagen und deren optimierter Einsatz in einer Realweltanwendung
Frahm, M.; Schorn, L.
2020, September 21. Energiewendetage Baden-Württemberg (2020), Stuttgart/Karlsruhe, September 19–21, 2020
Unconventional monetary policy in a nonlinear quadratic model
Faulwasser, T.; Gross, M.; Semmler, W.; Loungani, P.
2020. Studies in nonlinear dynamics and econometrics, 24 (5), Art.-Nr.: 20190099. doi:10.1515/snde-2019-0099
3D imaging technique for high-resolution slit lamp microscopy in ophthalmology
Kornelius, L.; Allgeier, S.; Bohn, S.; Reichert, K.-M.; Sperlich, K.; Köhler, B.
2020, September. 54th Annual Conference of the German Society for Biomedical Engineering (DGBMT 2020), Online, September 29–October 1, 2020
Modelling Curtailment in Germany: How spatial resolution impacts line congestion
Frysztacki, M.; Brown, T.
2020. 17th International Conference on the European Energy Market (EEM), Stockholm, S, September 16-18, 2020, Article no: 1241, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM49802.2020.9221886
Automatisierte Generierung eines 3D-Baumkatasters am Beispiel des KIT Campus Nord
Hurst, J.; Geiger, A.
2020. REAL CORP 2020: Shaping urban change - livable city regions for the 21st century : proceedings of the 25th International Conference on Urban Planning, Regional Development and Information Society : 15-18 September 2020, virtual conference. Ed.: Manfred Schrenk, Competence Center of Urban and Regional Planning (CORP)
Toolbox zur nachhaltigen Optimierung von Energiesystemen
Sauer, D.; Langiu, M.; Baader, F.; Dahmen, M.; Xhonneux, A.; Sass, S.; Kappatou, C.; Hollermann, D.; Shu, D.; Schütz, T.; Faulwasser, T.; Gröll, L.; Hagenmeyer, V.; Müller, D.; Bardow, A.; Mitsos, A.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Germany, September 28–30, 2020
Models, Data, Methods, and Optimization Benchmarks for Integrated Energy
Langiu, M.; Baader, F.; Sauer, D.; Dahmen, M.; Xhonneux, A.; Sass, S.; Kappatou, C.; Hollermann, D.; Shu, D.; Schütz, T.; Faulwasser, T.; Gröll, L.; Hagenmeyer, V.; Bardow, A.; Mitsos, A.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Germany, September 28–30, 2020
Using a scientific workflow platform for simulating the operation of a composed distributed energy resource
Poppenborg, R.; Liu, J.; Düpmeier, C.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Germany, September 28–30, 2020
ICT-Platform for Designing, Testing and Evaluating Energy System Solutions in Real-World Laboratories
Redder, F.; Braun, E.; Düpmeier, C.; Liu, J.; Westphal, L.; Stucky, U.; Xhonneux, A.; Hagenmeyer, V.; Müller, D.
2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Germany, September 28–30, 2020
Code Generation for Database Developers
Schmidt, A.; Scholz, S.
2020, September. 12th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2020), Online, September 27, 2020
BeadNet: Deep learning-based bead detection and counting in low-resolution microscopy images
Scherr, T.; Streule, K.; Bartschat, A.; Böhland, M.; Stegmaier, J.; Reischl, M.; Orian-Rousseau, V.; Mikut, R.
2020. Bioinformatics, 36 (17), 4668–4670. doi:10.1093/bioinformatics/btaa594
Robust scheduling of Electric Vehicle Charging in LV Distribution Networks under Uncertainty
Sun, W.; Neumann, F.; Harrison, G. P.
2020. IEEE transactions on industry applications, 56 (5), 5785–5795. doi:10.1109/TIA.2020.2983906
Identification and Localization of Cyber-Attacks in Industrial Facilities
Reibelt, K.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2020, August 31. 30. European Symposium on Computer Aided Process Engineering (ESCAPE 2020), Online, August 31–September 2, 2020
Identification and Localization of Cyber-Attacks in Industrial Facilities
Reibelt, K.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2020. ESCAPE 30, 30th European Symposium on Computer Aided Process Engineering, Milan, Italy, 30 August 2020 – 2 September 2020. Ed.: S. Pierucci, 1747–1752, Elsevier
Reproducibility of two calibration procedures for phase-measuring deflectometry
Allgeier, S.; Gengenbach, U.; Köhler, B.; Reichert, K.-M.; Hagenmeyer, V.
2020. Interferometry XX : 24 August - 4 September 2020, online only, United States. Ed.: M.B. North Morris, 14, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2567092
Zum 80. Geburtstag von Professor Dr.-Ing. habil. Jürgen Wernstedt
Rauschenbach, T.; Bretthauer, G.
2020. Automatisierungstechnik, 68 (8), 705–707. doi:10.1515/auto-2020-0113
Grundprinzipien für die Abschätzung von Einzugsbereichen in Totzeitsystemen
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2020. Automatisierungstechnik, 68 (8), 667–686. doi:10.1515/auto-2020-0034
Development of Precision Additive Manufacturing Processes
Elkaseer, A.; Charles, A. P.; Scholz, S. G.
2020. Precision additive metal manufacturing. Ed.: R. Leach, 35–68, CRC Press. doi:10.1201/9780429436543-3
Elucidating Mechanisms Underlying Experimentally Induced Changes in the Zebrafish Circadian Clock
Kumpost, V.
2020, August. Society for Mathematical Biology - Annual Meeting (SMB 2020), Online, August 17–20, 2020
Erstellung von effektiven Sensibilisierungsmaterialien zur Passwortsicherheit
Mayer, P.; Ballreich, F.; Düzgün, R.; Schwarz, C.; Volkamer, M.
2020. Datenschutz und Datensicherheit, 44 (8), 522–527. doi:10.1007/s11623-020-1318-9
The effect of lipidation and glycosylation on short cationic antimicrobial peptides
Grimsey, E.; Collis, D. W. P.; Mikut, R.; Hilpert, K.
2020. Biochimica et biophysica acta / Biomembranes, 1862 (8), Art.Nr.: 183195. doi:10.1016/j.bbamem.2020.183195
Parallel Time-Domain Power System Simulation Toolbox in Julia
Kyesswa, M.
2020, July 31. JuliaCon (2020), Online, July 29–31, 2020
Transportmodelle für Flüssigkeitsfilme
Hofmann, J.; Ponomarev, A.; Hagenmeyer, V.; Gröll, L.
2020. Automatisierungstechnik, 68 (8), 625–640. doi:10.1515/auto-2020-0016
GPU-accelerated ray-casting for 3D fiber orientation analysis
Shkarin, R.; Shkarina, S.; Weinhardt, V.; Surmenev, R. A.; Surmeneva, M. A.; Shkarin, A.; Baumbach, T.; Mikut, R.
2020. PLOS ONE, 15 (7), Article: e0236420. doi:10.1371/journal.pone.0236420
AI Word of the Week
Heidrich, B.
2020, July 12
Report on international experiences with E1st
Pató, Z.; Broc, J.-S.; Boza-Kiss, B.; Frahm, M.; Mandel, T.; Boll, J. R.; Santini, M.; Schmatzberger, S.; Wohlfahrt, K.
2020. doi:10.5445/IR/1000137325
On complexity reduction of the discrete-event subsystem of Flat Hybrid Automata for control design
Kleinert, T.; Zahn, F.; Hagenmeyer, V.
2020. Automatisierungstechnik, 68 (7), 529–540. doi:10.1515/auto-2020-0061
Opinion Behavior Analysis in Social Networks Under the Influence of Coopetitive Media
Xue, D.; Hirche, S.; Cao, M.
2020. IEEE transactions on network science and engineering, 7 (3), 961–974. doi:10.1109/TNSE.2019.2894565
Clustering Dataset
Frysztacki, M.; Hörsch, J.; Hagenmeyer, V.; Brown, T. W.
2020. doi:10.5281/zenodo.3965781
FRET Dyes Significantly Affect SAXS Intensities of Proteins
Reinartz, I.; Weiel, M.; Schug, A.
2020. Israel journal of chemistry, 60 (7), 725–734. doi:10.1002/ijch.202000007
GML-Toolbox 11.1 : Benutzerhandbuch - Datum: März 2020
Benner, J.
2020. Karlsruher Institut für Technologie (KIT)
Recent Developments in Ozone Sensor Technology for Medical Applications
Petani, L.; Koker, L.; Herrmann, J.; Hagenmeyer, V.; Gengenbach, U.; Pylatiuk, C.
2020. Micromachines, 11 (6), Article: 624. doi:10.3390/mi11060624
Mathematical Measures for calibration and evaluation of gas sensor data
Seifert, R.; Keller, H., B.
2020. SMSI 2020 Conference – Sensor and Measurement Science International. doi:10.5162/SMSI2020/P4.6
PHIL Testing Experience at KIT: Experimental Validations of New Technologies
Hubschneider, S.; Waczowicz, S.; Wiegel, F.; Karrari, S.; Sousa, W. T. B. de; De Carne, G.; Geisbüsch, J.; Hiller, M.; Leibfried, T.; Hagenmeyer, V.; Noe, M.
2020, June 18. RT20: Opal-RT’s 12th Conference on Real-Time Simulation (2020), Online, June 18, 2020
The bioliq® Entrained-Flow Gasifier - A Model for the German Energiewende
Eberhard, M.; Santo, U.; Michelfelder, B.; Günther, A.; Weigand, P.; Matthes, J.; Waibel, P.; Hagenmeyer, V.; Kolb, T.
2020. ChemBioEng reviews, 7 (4), 1–14. doi:10.1002/cben.202000006
PyPSA-Eur: An Open Optimisation Model of the European Transmission System (v0.2.0, Code)
Hörsch, J.; Neumann, F.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2020. doi:10.5281/zenodo.3885701
PyPSA-Eur: An Open Optimisation Model of the European Transmission System (v0.2.0, Dataset)
Hörsch, J.; Neumann, F.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2020. Karlsruher Institut für Technologie (KIT). doi:10.5281/zenodo.3886532
Energy-Based Stochastic MPC for Integrated Electricity-Hydrogen VPP in Real-Time Markets
Appino, R. R.; Wang, H.; Gonzales Ordiano, J. A.; Faulwasser, T.; Mikut, R.; Hagenmeyer, V.; Mancarella, P.
2020, June. 21st Power Systems Computation Conference (PSCC 2020), Porto, Portugal, June 29–July 3, 2020
Transmission Expansion Planning Using Cycle Flows
Neumann, F.; Brown, T.
2020. Proceedings of the Eleventh ACM International Conference on Future Energy Systems, Melbourne, Australia from 22nd to 26th of June 2020, 253–263, Association for Computing Machinery (ACM). doi:10.1145/3396851.3397688
Forecasting energy time series with profile neural networks
Heidrich, B.; Turowski, M.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2020. e-Energy ’20: The Eleventh ACM International Conference on Future Energy Systems, Virtual Event, Australia, June, 2020, 220–230, Association for Computing Machinery (ACM). doi:10.1145/3396851.3397683
A Novel Optimization Method for Urban Resilient and Fair Power Distribution Preventing Critical Network States
Ottenburger, S. S.; Çakmak, H. K.; Jakob, W.; Blattmann, A.; Trybushnyi, D.; Raskob, W.; Kühnapfel, U.; Hagenmeyer, V.
2020. International journal of critical infrastructure protection, 29, Art.Nr. 100354. doi:10.1016/j.ijcip.2020.100354
Hydrogen refueling station networks for heavy-duty vehicles in future power systems
Rose, P. K.; Neumann, F.
2020. Transportation research / D, 83, Article no: 102358. doi:10.1016/j.trd.2020.102358
Ein neues Konzept für eine serviceorientierte Datenhaltungsplattform für Lebenszyklusdaten. PhD dissertation
Kusche, O.
2020, May 22. Karlsruher Institut für Technologie (KIT)
Optimal Experiment Design for AC Power Systems Admittance Estimation
Du, X.; Engelmann, A.; Jiang, Y.; Faulwasser, T.; Houska, B.
2020
Segregation of Dispersed Silica Nanoparticles in Microfluidic Water‐in‐Oil Droplets: A Kinetic Study
Sheshachala, S.; Grösche, M.; Scherr, T.; Hu, Y.; Sun, P.; Bartschat, A.; Mikut, R.; Niemeyer, C. M.
2020. ChemPhysChem, 21 (10), 1070–1078. doi:10.1002/cphc.201901151
Polychaos.jl - A Julia package for polynomial chaos in systems and control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020
PolyChaos.jl -- A Julia Package for Polynomial Chaos in Systems and Control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020
The strong effect of resource granularity and network bottlenecks on highly renewable electricity system models
Frysztacki, M.; Brown, T. W.
2020, April 3. Workshop Aggregation Methods for Renewable Infeed Profiles in Energy System Models (2020), Duisburg, Germany, April 2–3, 2020
Submission of KIT-LS-GE
Löffler, K.; Scherr, T.
2020, April 3. Workshop : ISBI Cell Tracking Challenge at the IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa City, IA, USA, April 3–7, 2020
Assessment of high-resolution 3D printed optics for the use case of rotation optics
Sieber, I.; Thelen, R.; Gengenbach, U.
2020. Optics express, 28 (9), 13423–13431. doi:10.1364/OE.391697
Model compendium, data, and optimization benchmarks for sector-coupled energy systems
Sass, S.; Faulwasser, T.; Hollermann, D. E.; Kappatou, C. D.; Sauer, D.; Schütz, T.; Shu, D. Y.; Bardow, A.; Gröll, L.; Hagenmeyer, V.; Müller, D.; Mitsos, A.
2020. Computers & chemical engineering, 135, Art. Nr.: 106760. doi:10.1016/j.compchemeng.2020.106760
Cyber-Physical Security of Communication Networks in IEC 61850 Electrical Substations
Ghada Elbez
2020, March 26. Cyber Resilient Energy Delivery Consortium Seminar, University of Illinois at Urbana-Champaign (CREDC/UIUC 2020), Urbana, IL, USA, March 26, 2020
Python for Power System Analysis (PyPSA) Version 0.17.0
Brown, T.; Hörsch, J.; Schlachtberger, D.; Neumann, F.; Hofmann, F.
2020. doi:10.5281/zenodo.3724336
Coping with Concept Drifts in Load Forecasting using Machine Learning
Heidrich, B.; Turowski, M.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2020, March 5. Helmholtz AI Kick-Off Meeting (2020), Munich, Germany, March 4–5, 2020
The Helmholtz Metadata Collaboration (HMC) - addressing the meta-data problem
Lorenz, S.; Denker, M.; Finke, A.; Langenbach, C.; Stotzka, R.; Ückert, F.; Görzig, H.; Höpker, T.; Süß, W.; Jejkal, T.; Soeding, E.
2020, March. Helmholtz AI Kick-Off Meeting (2020), Munich, Germany, March 4–5, 2020
DeepDB – learn from data, not from queries!
Hilprecht, B.; Schmidt, A.; Kulessa, M.; Molina, A.; Kersting, K.; Binnig, C.
2020. Proceedings of the VLDB Endowment, 13 (7), 992–1005. doi:10.14778/3384345.3384349
Überwachung von Brückeninfrastrukturen : Neuer Ansatz von konventionellen und berührungslosen Sensoren
Keller, S.; Michel, C.; Schneider, O.; Müller, J.; Arnold, M.; Döring, A.; Hoyer, M.; Hinz, S.; Keller, H. B.
2020. Brückenbau, (3), 22–29
High‐Throughput Screening of Cell Transfection Enhancers Using Miniaturized Droplet Microarrays
Liu, Y.; Tronser, T.; Peravali, R.; Reischl, M.; Levkin, P. A.
2020. Advanced biosystems, 4 (3), 1900257. doi:10.1002/adbi.201900257
Lessons learned - PISEA Ergebnis in Safety und IT-Security
Keller, H.
2020, February 28. 7. Berliner Gesamtkonferenz der Sicherheitsinstitutionen (BGKdSI 2020), Berlin, Germany, February 27–28, 2020
The Forecasting Toolbox of the MATLAB-Toolbox SciXMine
Gonzalez Ordiano, J. A.; Mikut, R.
2020. Karlsruher Institut für Technologie (KIT). doi:10.13140/RG.2.2.31678.84801/1
IBEET-RSA: Identity-Based Encryption with Equality Test over RSA for Wireless Body Area Networks
Ramadan, M.; Liao, Y.; Li, F.; Zhou, S.; Abdalla, H.
2020. Mobile Networks and Applications, 25 (1), 223–233. doi:10.1007/s11036-019-01215-9
FE Simulation of Inertia Friction Welding of Similar PVC-PVC and PA6-PA6 Hollow Cylinders for Process Optimization
Kouta, H.; Elsanabary, S.; El Hadek, M.; Elkaseer, A.
2020. Sylwan, 164 (1), 407–428
Design of a Web-Service for Formal Descriptions of Domain-Specific Data
Sidler, J.; Braun, E.; Schlachter, T.; Düpmeier, C.; Hagenmeyer, V.
2020. Environmental Software Systems. Data Science in Action – 13th IFIP WG 5.11 International Symposium, ISESS 2020, Wageningen, The Netherlands, February 5–7, 2020, Proceedings. Ed.: I. Athanasiadis, 201–215, Springer International Publishing. doi:10.1007/978-3-030-39815-6_20
Künstliche Intelligenz in der Anwendung - Potenziale und Grenzen der Kooperation mit Frankreich und anderen europäischen Ländern
Keller, H.
2020, January 22. Meeting Point Internationalisierung der ClusterAgentur Baden-Württemberg (2020), Stuttgart, Germany, January 21–22, 2020
Getting startet with PyPSA-Eur: An Open Optimisation Model for the European Power System
Zeyen, E.; Frysztacki, M.; Hofmann, F.; Hörsch, J.; Neumann, F.; Brown, T.
2020, January 16. 10th Open Energy Modelling Workshop - Berlin 2020 (2020), Berlin, Germany, January 15–17, 2020
Python for Power System Analysis (PyPSA) Version 0.16.0
Brown, T.; Hörsch, J.; Schlachtberger, D.
2020, January 10. doi:10.5281/zenodo.3604277
ALADIN-α – An open-source MATLAB toolbox for distributed non-convex optimization
Engelmann, A.; Jiang, Y.; Benner, H.; Ou, R.; Houska, B.; Faulwasser, T.
2020
A Generic Flexible and Scalable Framework for Hierarchical Parallelization of Population-Based Metaheuristics
Khalloof, H.; Mohammad, M.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2020. Proceedings of the 12th International Conference on Management of Digital EcoSystems (MEDES’20), 2nd - 4th November 2020, Online. Ed.: Richard Chbeir, 124–131, Association for Computing Machinery (ACM). doi:10.1145/3415958.3433041
Polychaos.jl - A Julia package for polynomial chaos in systems and control
Mühlpfordt, T.; Zahn, F.; Hagenmeyer, V.; Faulwasser, T.
2020. 21th IFAC World Congress. Ed.: R. Findeisen, 7210–7216, Elsevier. doi:10.1016/j.ifacol.2020.12.552
Control and communication technologies for wireline borehole probes and inspection systems in hot geothermal environments
Dietze, S.
2020. Geothermal Resources Council Virtual Annual Meeting and Expo: Clean, Renewable and Always On, GRC 2020; Virtual, Online; ; 19 October 2020 through 23 October 2020, 38–45, Geothermal Resources Council (GRC)
Dynamic modelling and control for assessment of large-scale wind and solar integration in power systems
Kyesswa, M.; Çakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2020. IET Renewable Power Generation, 14 (19), 4010–4018. doi:10.1049/iet-rpg.2020.0458
Towards classification of technical sound events with deep learning models
Rieder, C.; Germann, M.; Scherer, K. P.
2020. WM in digitalen Arbeitswelten – Aktuelle Ansätze und Perspektiven, Proceedings 10. Konferenz Prof. WM, Potsdam 18.-20.03.2019. Hrsg.: P. Heisig, 188–193, Gesellschaft für Informatik (GI)
ED4GAP: Efficient Detection for GOOSE-Based Poisoning Attacks on IEC 61850 Substations
Bohara, A.; Ros-Giralt, J.; Elbez, G.; Valdes, A.; Nahrstedt, K.; Sanders, W. H.
2020. 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 11-13 November 2020, online, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm47815.2020.9303015
Evaluation of semi-supervised learning using sparse labeling to segment cell nuclei
Bruch, R.; Rudolf, R.; Mikut, R.; Reischl, M.
2020. Current directions in biomedical engineering, 6 (3), Art.Nr. 20203103. doi:10.1515/cdbme-2020-3103
Potential of Ensemble Copula Coupling for Wind Power Forecasting
Phipps, K.; Ludwig, N.; Hagenmeyer, V.; Mikut, R.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 87–109, KIT Scientific Publishing
CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings
Bäuerle, S.; Barth, J.; Tavares, E. de M.; Steimer, A.; Mikut, R.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 33–52, KIT Scientific Publishing
Annotating Automotive Radar efficiently: Semantic Radar Labeling Framework (SeRaLF)
Isele, S. T.; Schilling, M. P.; Klein, F. E.; Zoellner, M. J.
2020. Conference on Neural Information Processing Systems, Sun Dec 6th through Sat the 12th
Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy
Scherr, T.; Löffler, K.; Böhland, M.; Mikut, R.
2020. PLOS ONE, 15 (12), Art. Nr.: e0243219. doi:10.1371/journal.pone.0243219
On Grid Partitioning in AC Optimal Power Flow
Murray, A.; Kyesswa, M.; Schmurr, P.; Cakmak, H.; Hagenmeyer, V.
2020. IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 524–528, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Europe47291.2020.9248824
Application of Machine Learning to XRD Phase Identification
Schützke, J.; Jones, B.; Henderson, N.; Rodesney, N.; Benedix, A.; Knorr, K.; Mikut, R.; Reischl, M.
2020. Denver X-Ray Conference (2020), Denver, CO, USA, August 17–20, 2020
Siamese Networks for 1D Signal Identification
Schützke, J.; Benedix, A.; Mikut, R.; Reischl, M.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 17–31, KIT Scientific Publishing
Transforming Lidar Point Cloud Characteristics Between Different Datasets Using Image-to-Image Translation
Berens, F.; Knapp, Y.; Reischl, M.; Elser, S. T.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 73–86, KIT Scientific Publishing
SemML: Reusable ML for condition monitoring in discrete manufacturing
Svetashova, Y.; Zhou, B.; Schmid, S.; Pychinsky, T.; Kharlamov, E.
2020. CEUR workshop proceedings, 2721, 214–218
Semantic ML for manufacturing monitoring at Bosch
Zhou, B.; Svetashova, Y.; Pychynski, T.; Kharlamov, E.
2020. CEUR workshop proceedings, 2721, 397–398
On modelling effects in the battery and thermal storage scheduling problem
Murray, A.; Schütz, T.; Pan, G.; Müller, D.; Hagenmeyer, V.
2020. Journal of building performance simulation, 14 (1), 38–51. doi:10.1080/19401493.2020.1838611
MondoA regulates gene expression in cholesterol biosynthesis-associated pathways required for zebrafish epiboly
Weger, M.; Weger, B. D.; Schink, A.; Takamiya, M.; Stegmaier, J.; Gobet, C.; Parisi, A.; Kobitski, A. Y.; Mertes, J.; Krone, N.; Strähle, U.; Nienhaus, G. U.; Mikut, R.; Gachon, F.; Gut, P.; Dickmeis, T.
2020. eLife, 9, Art. Nr. e57068. doi:10.7554/eLife.57068
On Optimal Control of Flat Hybrid Automata
Zahn, F.; Kleinert, T.; Hagenmeyer, V.
2020. IFAC World Congress 2020, Germany, July 11 - 17, 2020. Ed.: R. Findeisen, 6800–6805, Elsevier. doi:10.1016/j.ifacol.2020.12.332
Evaluation of Semi-Supervised Learning Using Sparse Labeling to Segmet Cell Nuclei
Bruch, R.; Rudolf, R.; Mikut, R.; Reischl, M.
2020. 54th Annual Conference of the German Society for Biomedical Engineering (DGBMT 2020), Online, September 29–October 1, 2020
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches
Sharma, V.; Gonzales, O.; Jorge, A.; Mikut, R.; Cali, U.
2020. 40th International Symposium on Forecasting (ISF 2020), Online, October 26–28, 2020
Ontology-Enhanced Machine Learning : A Bosch Use Case of Welding Quality Monitoring
Svetashova, Y.; Zhou, B.; Pychynski, T.; Schmidt, S.; Sure-Vetter, Y.; Mikut, R.; Kharlamov, E.
2020. The Semantic Web - ISWC 2020 : 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part II. Ed.: J. Pan, 531–550, Springer International Publishing. doi:10.1007/978-3-030-62466-8_33
Towards automatic embryo staging in 3d+t microscopy images using convolutional neural networks and pointnets
Traub, M.; Stegmaier, J.
2020. Simulation and Synthesis in Medical Imaging: 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Ed.: N. Burgos, 153–163, Springer. doi:10.1007/978-3-030-59520-3_16
Detection of DoS Attacks Using ARFIMA Modeling of GOOSE Communication in IEC 61850 Substations
Elbez, G.; Keller, H. B.; Bohara, A.; Nahrstedt, K.; Hagenmeyer, V.
2020. Energies, 13 (19), Art.-Nr. 5176. doi:10.3390/en13195176
Sensitivity of input data in building heating energy demand simulation
Geiger, A.; Nichersu, A.; Hagenmeyer, V.
2020. BauSIM 2020, 23. - 25. September 2020, Graz
A New Julia-Based Parallel Time-Domain Simulation Algorithm for Analysis of Power System Dynamics
Kyesswa, M.; Schmurr, P.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2020. 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Prag, CZ, September 14-16, 2020. Vol. 1, 9 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DS-RT50469.2020.9213602
Prognosen für Energiesysteme der Zukunft: Methoden und Tools
Mikut, R.; González Ordiano, J. A. L., Nicole; Hagenmeyer, V.
2020. ES2050-Abschlusskonferenz (2020), Berlin, Germany, September 28–30, 2020
3Dprinted highly compact varifocal optics
Sieber, I.; Thelen, R.; Gengenbach, U.
2020. 3D Image Acquisition and Display: Technology, Perception and Applications : part of Imaging and Applied Optics Congress : 22-26 June 2020, Washington, DC, Article no: ITh4E.5, Optica Publishing Group (OSA). doi:10.1364/ISA.2020.ITh4E.5
Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020
Schulte, H.; Hoffmann, F.; Mikut, R. (Eds.)
2020. KIT Scientific Publishing. doi:10.5445/KSP/1000124139
Principle Structure and Architecture of a Code Generator
Schmidt, A.
2020. The Twelfth International Conference on Advances in Databases, Knowledge, and Data Applications
In-Process Digital Monitoring of Additive Manufacturing: Proposed Machine Learning Approach and Potential Implications on Sustainability
Charles, A. P.; Salem, M.; Moshiri, M.; Elkaseer, A.; Scholz, S. G.
2020. Sustainable Design and Manufacturing 2020 – Proceedings of the 7th International Conference on Sustainable Design and Manufacturing (KES-SDM 2020), 9-11 September 2020. Ed.: S. Scholz, 297–306, Springer. doi:10.1007/978-981-15-8131-1_27
Impact of Nonplanar 3D Printing on Surface Roughness and Build Time in Fused Filament Fabrication
Elkaseer, A.; Müller, T.; Rabsch, D.; Scholz, S. G.
2020. Sustainable Design and Manufacturing 2020 – Proceedings of the 7th International Conference on Sustainable Design and Manufacturing (KES-SDM 2020), 9-11 September 2020. Ed.: S. Scholz, 285–295, Springer. doi:10.1007/978-981-15-8131-1_26
An Industry 4.0 framework for tooling production using metal additive manufacturing-based first-time-right smart manufacturing system
Moshiri, M.; Charles, A. P.; Elkaseer, A.; Scholz, S.; Mohanty, S.; Tosello, G.
2020. Procedia CIRP, 93, 32–37. doi:10.1016/j.procir.2020.04.151
Stakeholder-Driven Conceptualization of Open Innovation Approaches in the SYNERGY Project
Fauth, J.; Marquardt, C.; Di Bari, G.; Raule, N.; Ronco, J. L.; Scholz, S. G.
2020. Sustainable Design and Manufacturing 2020 – Proceedings of the 7th International Conference on Sustainable Design and Manufacturing (KES-SDM 2020). Ed.: S. Scholz, 307–317, Springer. doi:10.1007/978-981-15-8131-1_28
Towards an Adaptive Design of Quality, Productivity and Economic Aspects When Machining AISI 4340 Steel With Wiper Inserts
Abbas, A. T.; Abubakr, M.; Elkaseer, A.; El Rayes, M. M.; Mohammed, M. L.; Hegab, H.
2020. IEEE access, 8, 159206–159219. doi:10.1109/ACCESS.2020.3020623
On polynomial real-time control policies in stochastic AC optimal power flow
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.; Roald, L.; Misra, S.
2020. Electric power systems research, 189, Art.-Nr.: 106792. doi:10.1016/j.epsr.2020.106792
3D MAPs discovers the morphological sequence chondrocytes undergo in the growth plate and the regulatory role of GDF5 in this process
Rubin, S.; Agrawal, A.; Stegmaier, J.; Svorai, J.; Addadi, Y.; Villoutreix, P.; Stern, T.; Zelzer, E.
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Pax6 organizes the anterior eye segment by guiding two distinct neural crest waves
Takamiya, M.; Stegmaier, J.; Kobitski, A. Y.; Schott, B.; Weger, B. D.; Margariti, D.; Cereceda Delgado, A. R.; Gourain, V.; Scherr, T.; Yang, L.; Sorge, S.; Otte, J. C.; Hartmann, V.; Wezel, J. van; Stotzka, R.; Reinhard, T.; Schlunck, G.; Dickmeis, T.; Rastegar, S.; Mikut, R.; Nienhaus, G. U.; Strähle, U.
2020. PLoS Genetics, 16 (6), Art. Nr.: e1008774. doi:10.1371/journal.pgen.1008774
DBMS Fitting: Why should we learn what we already know
Hilprecht, B.; Bang, T.; Binnig, C.; El-Hindi, M.; Hättasch, B.; Khanna, A.; Rehrmann, R.; Röhm, U.; Schmidt, A.; Thostrup, L.; Ziegler, T.
2020. CIDR 2020, January 12-15, 2020 Amsterdam, Netherlands
A low-tech Approach to Serial Section Arrays
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2020. Volume Microscopy. Hrsg.: I. Wacker, 79–96, Springer US. doi:10.1007/978-1-0716-0691-9_5
Characteristics-based Simulink Implementation of First-order Quasilinear Partial Differential Equations
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2020. Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. Ed.: F. De Rango, 139–146, SciTePress. doi:10.5220/0009569001390146
Eight Weeks Later - The Unprecedented Rise of 3D Printing during the COVID-19 Pandemic : a Case Study, Lessons Learned, and Implications on the Future of Global Decentralized Manufacturing
Mueller, T.; Elkaseer, A.; Charles, A. P.; Fauth, J.; Rabsch, D.; Scholz, A.; Marquardt, C.; Nau, K.; Scholz, S. G.
2020. Applied Sciences, 10 (12), 4135. doi:10.3390/app10124135
PyPSA-Eur-Sec Version 0.1.0
Brown, T.; Victoria, M.; Zeyen, E.
2020. Zenodo. doi:10.5281/zenodo.3938042
A New Synthetic Conduit for the Treatment of Peripheral Nerve Injuries
Uranues, S.; Bretthauer, G.; Tomasch, G.; Rafolt, D.; Nagele-Moser, D.; Berghold, A.; Kleinert, R.; Justich, I.; Waldert, J.; Koch, H.
2020. World journal of surgery, 44, 3373–3382. doi:10.1007/s00268-020-05620-0
Turnpike Properties in Discrete-Time Mixed-Integer Optimal Control
Faulwasser, T.; Murray, A.
2020. IEEE control systems letters, 4 (3), 704–709. doi:10.1109/LCSYS.2020.2988943
Data analytics in the electricity sector – A quantitative and qualitative literature review
Scheidt, F. vom; Medinová, H.; Ludwig, N.; Richter, B.; Staudt, P.; Weinhardt, C.
2020. Energy and AI, 1, Article no: 100009. doi:10.1016/j.egyai.2020.100009
Hybrid multi-chip assembly of optical communication engines by in situ 3D nano-lithography
Blaicher, M.; Billah, M. R.; Kemal, J.; Hoose, T.; Marin-Palomo, P.; Hofmann, A.; Kutuvantavida, Y.; Kieninger, C.; Dietrich, P.-I.; Lauermann, M.; Wolf, S.; Troppenz, U.; Moehrle, M.; Merget, F.; Skacel, S.; Witzens, J.; Randel, S.; Freude, W.; Koos, C.
2020. Light, 9 (1), 71. doi:10.1038/s41377-020-0272-5
A distributed modular scalable and generic framework for parallelizing population-based metaheuristics
Khalloof, H.; Ostheimer, P.; Jakob, W.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2020. Parallel Processing and Applied Mathematics : 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I. Ed: R. Wyrzykowski, 432–444, Springer. doi:10.1007/978-3-030-43229-4_37
Ontology based information management for industrial applications
Germann, M.; Rieder, C.; Scherer, K. P.
2020. ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence. Vol. 2. Ed.: A. Rocha, 773–779, SciTePress
A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems
Shin, S.; Faulwasser, T.; Zanon, M.; Zavala, V. M.
2020. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019, 5264–5271, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC40024.2019.9030139
Distributed State Estimation for AC Power Systems using Gauss-Newton ALADIN
Du, X.; Engelmann, A.; Jiang, Y.; Faulwasser, T.; Houska, B.
2020. 2019 IEEE 58th Conference on Decision and Control (CDC), 1919–1924, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC40024.2019.9028966
On norm-based estimations for domains of attraction in nonlinear time-delay systems
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2020. Nonlinear dynamics, 100, 2027–2045. doi:10.1007/s11071-020-05620-8
Experiment-Based Process Modeling and Optimization for High-Quality and Resource-Efficient FFF 3D Printing
Elkaseer, A.; Schneider, S.; Scholz, S. G.
2020. Applied Sciences, 10 (8), Article: 2899. doi:10.3390/app10082899
Dimensional Errors Due to Overhanging Features in Laser Powder Bed Fusion Parts Made of Ti-6Al-4V
Charles, A. P.; Elkaseer, A.; Thijs, L.; Scholz, S. G.
2020. Applied Sciences, 10 (7), Article: 2416. doi:10.3390/app10072416
Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review
Khajeh, H.; Laaksonen, H.; Gazafroudi, A. S.; Shafie-khah, M.
2020. Energies, 13 (1), Art. Nr.: 165. doi:10.3390/en13010165
A novel approach to label road defects in video data: semi-automated video analysis
Thumm, J.; Masino, J.; Knoche, M.; Gauterin, F.; Reischl, M.
2020. International journal on smart sensing and intelligent systems, 13 (1), 1–9. doi:10.21307/ijssis-2020-007
Advances in microcellular injection moulding
Llewelyn, G.; Rees, A.; Griffiths, C. A.; Scholz, S. G.
2020. Journal of cellular plastics, 56 (6), 646–674. doi:10.1177/0021955X20912207
Principles and Characteristics of Different EDM Processes in Machining Tool and Die Steels
Abu Qudeiri, J. E.; Zaiout, A.; Mourad, A.-H. I.; Abidi, M. H.; Elkaseer, A.
2020. Applied Sciences, 10 (6), Article no.: 2082. doi:10.3390/app10062082
Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting
Shahoud, S.; Khalloof, H.; Duepmeier, C.; Hagenmeyer, V.
2020. APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems. Ed.: N. Petkov, 3378221, Association for Computing Machinery (ACM). doi:10.1145/3378184.3378221
Echtzeit-Monitoring und Optimierung der Sinterzone in Zementdrehrohröfen zur Stabilisierung der Klinkerqualität bei veränderlicher Zusammensetzung der Ersatzbrennstoffe
Hoyer, M.; Melerski, R.; Dittrich, A.; Vogelbacher, M.; Matthes, J.; Keller, H. B.
2020. Energie aus Abfall. Hrsg.: S. Thiel. Band 17, 773–786, Thomé-Kozmiensky Verlag GmbH
Variability of running coordination in experts and novices: A 3D uncontrolled manifold analysis
Möhler, F.; Marahrens, S.; Ringhof, S.; Mikut, R.; Stein, T.
2020. European journal of sport science, 20 (9), 1187–1196. doi:10.1080/17461391.2019.1709561
The Near-Optimal Feasible Space of a Renewable Power System Model
Neumann, F.; Brown, T.
2020. 21st Power Systems Computation Conference, Porto, P, June 29 - July 03, 2020 (PSCC 2020)
The role of photovoltaics in a sustainable European energy system under variable CO emissions targets, transmission capacities, and costs assumptions
Victoria, M.; Zhu, K.; Brown, T.; Andresen, G. B.; Greiner, M.
2020. Progress in photovoltaics, 28 (6), 483–492. doi:10.1002/pip.3198
A note on efficient computation of privileged directions in modifier adaptation
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2020. Computers & chemical engineering, 132, Article No.106524. doi:10.1016/j.compchemeng.2019.106524
Modular Simulation Model for Falling Film Evaporators with Novel Approach to Manage Dominant Time-varying Transport Delays
Schwaer, C.; Hofmann, J.; Mühlpfordt, M.; Frank, A.; Gröll, L.
2020. Computers & chemical engineering, 132, Article: 106604. doi:10.1016/j.compchemeng.2019.106604
Software Toolkit for Visualization and Process Selection for Modular Scalable Manufacturing of 3D Micro-Devices
Scholz, S.; Elkaseer, A.; Salem, M.; Hagenmeyer, V.
2020. Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. Ed.: L. Borzemski, 160–172, Springer International Publishing. doi:10.1007/978-3-030-30440-9_16
Probabilistic energy forecasting using the nearest neighbors quantile filter and quantile regression
González Ordiano, J. Á.; Gröll, L.; Mikut, R.; Hagenmeyer, V.
2020. International journal of forecasting, 36 (2), 310–323. doi:10.1016/j.ijforecast.2019.06.003
Comparison of PD-L1 expression between paired cytologic and histologic specimens from non-small cell lung cancer patients
Kuempers, C.; Linde, L. I. S. van der; Reischl, M.; Vogel, W.; Stellmacher, F.; Reck, M.; Heigener, D.; Rabe, K. F.; Kirfel, J.; Perner, S.; Welker, L.
2020. Virchows Archiv, 476, 261–271. doi:10.1007/s00428-019-02632-7
Toward economic NMPC for multistage AC optimal power flow
Faulwasser, T.; Engelmann, A.
2020. Optimal control, applications and methods, 41 (1), 107–127. doi:10.1002/oca.2487
2019
Optimal Experiment Design for Parameter estimation in AC Power Systems
Yang, Y.; Du, X.; Engelmann, A.; Faulwasser, T.; Houska, B.
2019, December 17. AG Analysis und Systemtheorie (2019), Ilmenau, Germany, December 16–17, 2019
Time delay in the swing equation: A variety of bifurcations
Scholl, T. H.; Gröll, L.; Hagenmeyer, V.
2019. Chaos, 29 (12), Article: 123118. doi:10.1063/1.5122784
Siloxane-functionalised surface patterns as templates for the ordered deposition of thin lamellar objects
Hoffmann, J.; Gamboa, S. M.; Hofmann, A.; Gliemann, H.; Welle, A.; Wacker, I.; Schröder, R. R.; Ness, L.; Hagenmeyer, V.; Gengenbach, U.
2019. Scientific reports, 9 (1), Article no: 17952. doi:10.1038/s41598-019-54507-1
The role of storage technologies throughout the decarbonisation of the sector-coupled European energy system
Victoria, M.; Zhu, K.; Brown, T.; Andresen, G. B.; Greiner, M.
2019. Energy conversion and management, 201, Article no: 111977. doi:10.1016/j.enconman.2019.111977
mTORC1 and PKB/Akt control the muscle response to denervation by regulating autophagy and HDAC4
Castets, P.; Rion, N.; Théodore, M.; Falcetta, D.; Lin, S.; Reischl, M.; Wild, F.; Guérard, L.; Eickhorst, C.; Brockhoff, M.; Guridi, M.; Ibebunjo, C.; Cruz, J.; Sinnreich, M.; Rudolf, R.; Glass, D. J.; Rüegg, M. A.
2019. Nature Communications, 10 (1), 3187. doi:10.1038/s41467-019-11227-4
Uncertainty Quantification for Optimal Power Flow Problems
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2019. Proceedings in applied mathematics and mechanics, 19 (1), Art.Nr. e201900087. doi:10.1002/Pamm.201900087
A new distributed co-simulation architecture for multi-physics based energy systems integration
Çakmak, H.; Erdmann, A.; Kyesswa, M.; Kühnapfel, U.; Hagenmeyer, V.
2019. Automatisierungstechnik, 67 (11), 972–983. doi:10.1515/auto-2019-0081
Flexibility From Energy Systems Integration: Supporting Synergies Among Sectors
Orths, A.; Anderson, C. L.; Brown, T.; Mulhern, J.; Pudjianto, D.; Ernst, B.; OMalley, M.; McCalley, J.; Strbac, G.
2019. IEEE power & energy magazine, 17 (6), 67–78. doi:10.1109/MPE.2019.2931054
Distributed Optimization with ALADAIN
Jiang, Y.; Engelmann, A.; Faulwasser, T.; Houska, B.
2019, October 29. Systeme (2019), Magdeburg, Germany, October 28–29, 2019
Machine Learning Methods for Automated Quantification of Ventricular Dimensions
Schutera, M.; Just, S.; Gierten, J.; Mikut, R.; Reischl, M.; Pylatiuk, C.
2019, October 29. Bosch AICON (AICON 2019), Renningen, Germany, October 28–29, 2019
3D Printing Technologies in KNMF
Mueller, T.; Elkaseer, A.; Scholz, S.
2019, October 24. International Symposium on Thermal Effects in Gas Flows in Microscale (ISTEGIM 2019), Ettlingen, Germany, October 24–25, 2019
Simulation of FRET-Dyes Allows Direct Comparison Against Experimental Data
Reinartz, I.
2019, October 23. Workshop: Protein Simulations - Current state of the art (2019), Tel Aviv, Israel, October 22–24, 2019
Feature Space Exploration for Motion Classification Based on Multi-Modal Sensor Data for Lower Limb Exoskeletons
Daab, T.; Patzer, I.; Mikut, R.; Asfour, T.
2019, October 17. 19th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2019), Toronto, Canada, October 15–17, 2019
Computersimulationen der molekularen Maschinerie des Lebens: Von der Proteinfaltung bis zur gezielten Therapie
Reinartz, I.
2019, October 11. 2. Bunte Nacht der Ditgitalisierung (2019), Karlsruhe, Germany, October 11, 2019
Structure Exploitation in Mixed-Integer Optimization of Energy Systems
Murray, A.
2019, October 4. Scientific Colloquium at MPEI (2019), Moscow, Russia, October 3–5, 2019
Feature Space Exploration for Motion Classification Based on Multi-Modal Sensor Data for Lower Limb Exoskeletons
Daab, T.; Patzer, I.; Mikut, R.; Asfour, T.
2019. 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 636–643, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids43949.2019.9035014
A New Communication Concept for Efficient Configuration of Energy Systems Integration Co-Simulation
Erdmann, A.; Çakmak, H. K.; Kuhnapfel, U.; Hagenmeyer, V.
2019. 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 8 Seiten, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DS-RT47707.2019.8958665
Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 „Computational Intelligence
Mikut, R.; Kroll, A.; Hoffmann, F.
2019. Automatisierungstechnik, 67 (10), 817–819. doi:10.1515/auto-2019-0101
Fuzzy tissue detection for real-time focal control in corneal confocal microscopy = Fuzzy-Gewebeerkennung für Echtzeit-Fokusregelung in der Kornea-Konfokalmikroskopie
Bartschat, A.; Allgeier, S.; Scherr, T.; Stegmaier, J.; Bohn, S.; Reichert, K.-M.; Kuijper, A.; Reischl, M.; Stachs, O.; Köhler, B.; Mikut, R.
2019. Automatisierungstechnik, 67 (10), 879–888. doi:10.1515/auto-2019-0034
PolyChaos.jl - An open source Julia package for polynomial chaos expansion
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2019, September 11. Workshop on Frontiers of Uncertainty Quantification in Fluid Dynamics (FrontUQ 2019), Pisa, Italy, September 11–13, 2019
Mechanism of toxicity of amorphous silica nanoparticles in lung epithelial cells and macrophages
Diabaté, S.; Fritsch-Decker, S.; Marquardt, C.; Leibe, R.; Weiss, C.
2019, September 9. 55th Congress of the European Societies of Toxicology (EUROTOX 2019), Helsinki, Finland, September 8–11, 2019
Building Energy Simulations at Urban Scale Based on Standardized Data Models Using a Transparent Enrichment Process
Geiger, A.; Benner, J.; Häfele, K.-H.; Hagenmeyer, V.
2019, September 3. 16th International Building Simulations Conference (IBPSA 2019), Rome, Italy, September 2–4, 2019
Authentication of GOOSE Messages under Timing Constraints in IEC 61850 Substations
Elbez, G.; Keller, H. B.; Hagenmeyer, V.
2019. 6th International Symposium for ICS & SCADA Cyber Security Research 2019 (ICS-CSR), BCS Learning & Development. doi:10.14236/ewic/icscsr19.17
On Calendar-Based Scheduling for User-Friendly Charging of Plug-In Electric Vehicles
Schwenk, K.; Faix, M.; Mikut, R.; Hagenmeyer, V.; Appino, R. R.
2019. 2nd IEEE Connected and Automated Vehicles Symposium, CAVS 2019, Honolulu, United States, 22nd - 23rd September 2019, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CAVS.2019.8887782
A Comparison of Economic MPC Formulations for Thermal Building Control
Zwickel, P.; Engelmann, A.; Gröll, L.; Hagenmeyer, V.; Sauer, D.; Faulwasser, T.
2019. 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, RO, September 29 - October 2, 2019, Article no: 8905593, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGTEurope.2019.8905593
Volume reconstruction of the human cornea with oscillating focus scans
Kornelius, L.; Allgeier, S.; Bohn, S.; Reichert, K.-M.; Sperlich, K.; Stachs, O.; Köhler, B.
2019. Biomedical engineering, 64 (s2), S193. doi:10.1515/bmt-2019-6023
Dual-Objective NMPC: Considering Economic Costs near Manifolds
Van Duijkeren, N.; Faulwasser, T.; Pipeleers, G.
2019. IEEE transactions on automatic control, 64 (9), 3788–3795. doi:10.1109/TAC.2018.2886177
Microfluidic Chips for Life Sciences - A Comparison of Low Entry Manufacturing Technologies
Grösche, M.; Zoheir, A. E.; Stegmaier, J.; Mikut, R.; Mager, D.; Korvink, J. G.; Rabe, K. S.; Niemeyer, C. M.
2019. Small, 15 (35), 1901956. doi:10.1002/smll.201901956
Metric Learning for Cell Images Based on Deep Neural Networks
Löffler, K.
2019, July 19. Sitzung des VDI/VDE-GMA-Fachausschusses 1.10 (2019), Frankfurt am Main, Germany, July 18–19, 2019
Safe by Design in3D printing
Nau, K.; Scholz, S.
2019, July 4. 6th International Conference on Sustainable Design and Manufacturing (SDM 2019), Budapest, Hungary, July 4–5, 2019
Towards proper building models
Sauer, D.; Gröll, L.; Hagenmeyer, V.
2019, July 4. 8. Jahrestagung des KIT-Zentrums Energie (2019), Karlsruhe, Germany, July 4–5, 2019
Robust phase unwrapping based on non-coprime fringe pattern periods for deflectometry measurements
Allgeier, S.; Gengenbach, U.; Köhler, B.; Reichert, K.-M.; Hagenmeyer, V.
2019. Automated Visual Inspection and Machine Vision III - SPIE Optical Metrology, 2019, Munich, Germany, 24-27 JUNE 2019. Ed.: J. Beyerer, F. Puente León, 1106103, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2523564
DaNa2.0 Knowledge Base - Quality-approved information on Safety of Nanomaterials for all
Marquardt, C.; Bohmer, N.; Krug, H. F.; Kuehnel, D.; Mattern, A.; Steinbach, C.; Nau, K.; Möller, N.
2019, June 12. EuroNanoForum (2019), Bucharest, Romania, June 12–14, 2019
DaNa2.0 Knowledge Base- Quality-approved information on safety of nanomaterials
Marquardt, C.; Bohmer, N.; Krug, H. F.; Kuehnel, D.; Mattern, A.; Steinbach, C.; Nau, K.
2019, June 7. 16th International Conference on Nanosciences and Nanotechnologies (NN19 2019), Thessaloniki, Greece, July 2–5, 2019
Determination of Feasible Power Variability Ranges in Active Distribution Networks with Uncertain Generation and Demand
Noto, G.; Hagenmeyer, V.; Appino, R. R.; Chicco, G.
2019. IEEE Milan PowerTech, Milan, Italy, 23-27 June 2019: proceedings, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810592
Photonic-integrated circuits with non-planar topologies realized by 3D-printed waveguide overpasses
Nesic, A.; Blaicher, M.; Hoose, T.; Hofmann, A.; Lauermann, M.; Kutuvantavida, Y.; Nöllenburg, M.; Randel, S.; Freude, W.; Koos, C.
2019. Optics express, 27 (12), 17402. doi:10.1364/OE.27.017402
Exploiting Unused Capacity in the Grid
Priebe, J.; Wehbring, N.; Chang, H.; Moser, A.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2019. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 21-24 May 2019, 451–456, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISGT-Asia.2019.8880909
Concept for a Permanent, Non-Invasive Blood Pressure Measurement in the Ear
Zeilfelder, J.; Diehl, M.; Pylatiuk, C.; Stork, W.
2019. Proceedings 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Chicago, IL, USA, 19-22 May 2019, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BHI.2019.8834671
War stories from teaching Rust and Embedded simultaneously
Scherer, O.
2019, April 27. Oxidize (2019), Berlin, Germany, April 26–29, 2019
Implementierung eines Werkzeuges zur Interpretation von Versorgungsnetzen aus dem Programmsystem STANET
Riester, M.; Geiger, A.
2019, April 3. 24th International Conference on Urban Planning and Regional Development in the Information Society (REAL CORP 2019), Karlsruhe, Germany, April 2–4, 2019
Decomposition and Parallelization of Mixed-Integer Optimization in Energy Systems
Murray, A.
2019, April. VIII Global Energy Prize Summit - Youth Talks (2019), Karlsruhe, Germany, April 10, 2019
The role of hydro power, storage and transmission in the decarbonization of the Chinese power system
Liu, H.; Brown, T.; Andresen, G. B.; Schlachtberger, D. P.; Greiner, M.
2019. Applied energy, 239, 1308–1321. doi:10.1016/j.apenergy.2019.02.009
Polynomial Chaos in Control - Truncation Errors and Numerical Computation
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2019, March 26. GAMM-Fachausschuss Dynamik und Regelungstheorie - Workshop (2019), Magdeburg, Germany, March 25–26, 2019
Insecurity of an IBEET Scheme and an ABEET Scheme
Liao, Y.; Chen, H.; Huang, W.; Ramadan, M.; Pan, H.; Zhou, S.
2019. IEEE Access, 7, 25087–25094. doi:10.1109/ACCESS.2019.2900752
Machine learning aided phase retrieval algorithm for beam splitting with an LCoS-SLM
Mikhaylov, D.; Zhou, B.; Kiedrowski, T.; Mikut, R.; Lasagni, A. F.
2019. Laser Resonators, Microresonators, and Beam Control XXI. Ed.: A.V. Kudryashov, 10 S., Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2508673
Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: A review of international field studies
Kohlhepp, P.; Harb, H.; Wolisz, H.; Waczowicz, S.; Müller, D.; Hagenmeyer, V.
2019. Renewable & sustainable energy reviews, 101, 527–547. doi:10.1016/j.rser.2018.09.045
Innovative Sensor System and Evaluation Procedure for Monitoring of Food Processing
Seifert, R.; Keller, H. B.; Kohler, H.
2019, February 28. 22nd Euro-Global Summit on Food and Beverages (2019), London, United Kingdom, February 28–March 1, 2019. doi:10.4172/2157
Context-aware Visualization of Entity-Entity Relationships in a Document Corpus
Schmidt, A.; Kief, P.; Scholz, S.
2019, January 29. 30th Australasian Database Conference (ADC 2019), Sydney, Australia, January 29–February 1, 2019
Context-Aware Visualization of Entity-Entity Relationships in a Document Corpus
Schmidt, A.; Kief, P.; Scholz, S.
2019. Databases Theory and Applications : 30th Australasian Database Conference, ADC 2019, Sydney, AUS, January 29 – February 1, 2019, Proceedings. Ed.: L. Chang, 135–138, Springer. doi:10.1007/978-3-030-12079-5_10
Cryptanalysis of an Identity-Based Encryption Scheme With Equality Test and Improvement
Liao, Y.; Fan, Y.; Liang, Y.; Liu, Y.; Ramadan, M.
2019. IEEE Access, 7, 75067–75072. doi:10.1109/ACCESS.2019.2920897
Vision system-based inspection and alignment of laminated polymer films for 3D-Integration of microsystems
Elkaseer, A.; Salem, M.; Hagenmeyer, V.; Scholz, S.
2019. IFAC-PapersOnLine, 52 (15), 13–18. doi:10.1016/j.ifacol.2019.11.642
ANN-based modelling of dimensional accuracy in L-PBF
Charles, A. P.; Elkaseer, A.; Salem, M.; Thijs, L.; Scholz, S. G.
2019. Proceedings of the Joint Special Interest Group meeting between euspen and ASPE Advancing Precision in Additive Manufacturing (2019). Ed.: A. Bernard, Ecole Centrale de Nantes
Modeling and control of multimodal and hybrid energy systems (Editorial)
Wolter, M.; Hagenmeyer, V.
2019. Automatisierungstechnik, 67 (11), 891–892. doi:10.1515/auto-2019-0112
Python for Power System Analysis (PyPSA) Version 0.14.0
Brown, T.; Hörsch, J.; Schlachtberger, D.
2019. Zenodo. doi:10.5281/zenodo.2845242
Python for Power System Analysis (PyPSA) Version 0.15.0
Brown, T.; Hörsch, J.; Schlachtberger, D.; Neumann, F.; Neumann, D.
2019. Zenodo. doi:10.5281/zenodo.3532651
Spannungsfeld Innovation durch Digitalisierung und maschinelle Intelligenz vers Cyber Security
Keller, H. B.
2019. 1. Cluster-Regio-Point „Begegnen, bewegen, kreieren – Innovation gemeinsam meistern“ (2019), Rastatt, Germany, December 17, 2019
6. HSN-Fachsymposium Innovative Sensorik, verteilte Sensorsysteme, neue Technologien und anwendungsfelder
Keller, H. B.; Seifert, R. (Eds.)
2019. Karlsruher Institut für Technologie (KIT)
Motion prediction enables simulated MR-imaging of freely moving model organisms
Reischl, M.; Jouda, M.; MacKinnon, N.; Fuhrer, E.; Bakhtina, N.; Bartschat, A.; Mikut, R.; Korvink, J. G.
2019. PLoS Computational Biology, 15 (12), e1006997. doi:10.1371/journal.pcbi.1006997
Errata for “Comments on Truncation Errors for Polynomial Chaos Expansions”
Mühlpfordt, T.; Findeisen, R.; Hagenmeyer, V.; Faulwasser, T.
2019. IEEE Control Systems Letters, 1. doi:10.1109/LCSYS.2019.2960612
Feasibility vs. Optimality in Distributed AC OPF: A Case Study Considering ADMM and ALADIN
Engelmann, A.; Faulwasser, T.
2019. Advances in Energy System Optimization – Proceedings of the 2nd International Symposium on Energy System Optimization. Ed.: V. Bertsch, 3–12, Springer International Publishing. doi:10.1007/978-3-030-32157-4_1
A parallel decomposition cheme for solving long-horizon optimal control problems [in press]
Shin, S.; Faulwasser, T.; Zanon, M.; Zavala; V.M.
2019. 58th Conference on Decision and Control (CDC 2019), Nice, France, December 11th-13th 2019, Institute of Electrical and Electronics Engineers (IEEE)
Modeling and Force Control of a Terramechanical Wheel-Soil Contact for a Robotic Manipulator used in the Planetary Rover Design Process
Wachter, J.; Mikut, R.; Buse, F.
2019. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 560–565, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS40897.2019.8967900
Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments using Web and Microservice Technologies
Shahoud, S.; Gunnarsdottir, S.; Khalloof, H.; Düpmeier, C.; Hagenmeyer, V.
2019. 11th International Conference on Management of Digital EcoSystems, MEDES. doi:10.1145/3297662.3365807
Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach
Khalloof, H.; Ostheimer, P.; Jakob, W.; Shahoud, S.; Düpmeier, C.; Hagenmeyer, V.
2019. Intelligent Data Engineering and Automated Learning. Ed.: Hujun Yin, 386–393, Springer. doi:10.1007/978-3-030-33607-3_42
A distributed Modular Scalable and Generic Framework for Parallelizing Population Based Metaheuristics
Khalloof, H.; Ostheimer, P.; Jakob, W.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2019. 13th International Conference on Parallel Processing and Applied Mathematics (PPAM 2019), Bialystok, PL, September 8-11, 2019, Springer
Advanced Ceramic Breeder Pebble Production: Controlling the Pebble Size Distribution
Leys, O.; Waibel, P.; Matthes, J.; Knitter, R.
2019. Proceedings of the 20th International Workshop on Ceramic Breeder Blanket Interactions (CBBI-20) : September 18-20, 2019, KIT, Germany. Ed.: Regina Knitter, 13–19, Karlsruher Institut für Technologie (KIT)
Scheduling of energy storage using probabilistic forecasts and energy-based aggregated models. PhD dissertation
Appino, R. R.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000100684
Porting parameter estimation methods to MV & LV grids
Jumar, R.
2019. Doktorandenseminar der Helmholtz-Initiative Energie System 2050 (ES2050 2019), Oberursel, Germany, September 4–5, 2019
Normbasierte Einzugsbereichsabschätzungen in Totzeitsystemen
Scholl, T. H.; Hagenmeyer, V.; Gröll, L.
2019. Tagung des GMA-Fachausschusses 1.40 ’Systemtheorie und Regelungstechnik’ (2019), Anif, Austria, September 23–25, 2019
Energy Models
Hörsch, J.
2019
Power Quality in Smart Distribution Systems with Electric Battery, Large Loads and PV Generation
Munoz Ortiz, M.; Petersen, I.; Mikut, R.; Landsverk, H.; Simonsen, S. H.
2019. Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019). Ed.: C. Trimborn, 97–108
Synergy Pattern of Short Cationic Antimicrobial Peptides Against Multidrug-Resistant Pseudomonas aeruginosa
Ruden, S.; Rieder, A.; Chis Ster, I.; Schwartz, T.; Mikut, R.; Hilpert, K.
2019. Frontiers in microbiology, 10, Art. Nr.: 2740. doi:10.3389/fmicb.2019.02740
Digitale Bildverarbeitung und Tiefe Neuronale Netze in der Augenheilkunde – aktuelle Trends - Digital Image Processing and Deep Neural Networks in Ophthalmology – Current Trends
Bartschat, A.; Allgeier, S.; Bohn, S.; Scherr, T.; Blessing, D.; Reichert, K.-M.; Reischl, M.; Stachs, O.; Koehler, B.; Mikut, R.
2019. Klinische Monatsblätter für Augenheilkunde, 236 (12), 1399–1406. doi:10.1055/a-1008-9400
Optimal adaptive power flow linearizations: Expected error minimization using polynomial chaos expansion
Mühlpfordt, T.; Molzahn, D. K.; Hagenmeyer, V.; Misra, S.
2019. 13th IEEE PES Power Tech (2019), Milan, Italy, June 23–27, 2019
Applanation force monitoring during in vivo corneal confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Bartschat, A.; Stolu, H.; Guthoff, R. R.; Mikut, R.; Köhler, B.; Stacks, O.
2019. Der Ophthalmologe, 116 (Suppl.2), S139
Evaluation of Features for Change Detection in Unstructured Image Data
Münke, F. R.; Bartschat, A.; Chen, Y.; Mikut, R.; Reischl, M.
2019. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. Ed.: F. Hoffmann, E. Hüllermeier, R. Mikut, 1–23, KIT Scientific Publishing
Influence of Synthetic Label Image Object Properties on GAN Supported Segmentation Pipelines
Böhland, M.; Scherr, T.; Bartschat, A.; Mikut, R.; Reischl, M.
2019. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. Ed.: F. Hoffmann, E. Hüllermeier, R. Mikut, 289–309, KIT Scientific Publishing
Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility
Schwenk, K.; Harr, T.; Großmann, R.; Appino, R. R.; Hagenmeyer, V.; Mikut, R.
2019. Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019. Ed.: F. Hoffmann, E. Hüllermeier, R. Mikut, 73–93, KIT Scientific Publishing
Relative Gain Array and Singular Value Analysis to Improve the Control in a Biomass Pyrolysis Process
Hofmann, J.; Holz, H.-C.; Gröll, L.
2019. 2019 IEEE 15th International Conference on Control and Automation (ICCA 2019), Edinburgh, UK, July 16-19, 2019, 596–603, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCA.2019.8900025
Detection and Localization of Manipulated Smart Meters Using Super State Hidden Markov Models
Gabriel, R.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2019. 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Beijing, China, 21-23 Oct. 2019, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm.2019.8909702
Semantic CIM2Matpower: Ontology-Based Network Topology Processor and Converter for CIM Node-Breaker Models
Schumilin, A.; Cakmak, H. K.; Stucky, K.-U.; Duepmeier, C.; Hagenmeyer, V.
2019. Proceedings of the 7th International Conference on Smart Energy Grid Engineering (SEGE 2019), Ottawa, CDN, August 12-14, 2018, 31–36, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE.2019.8859820
ANN based prediction of dimensional error in down-facing surfaces for laser powder bed fusion parts
Charles, A. P.; Elkaseer, A.; Salem, M.; Thijs, L.; Scholz, S.
2019. ASPE and euspen Summer Topical Meeting Advancing Precision in Additive Manufacturing (2019), Nantes, France, September 16–18, 2019
Total Cost of Ownership for different state of the art FDM Machines
Fauth, J.; Elkaseer, A.; Scholz, S. G.
2019. Sustainable Design and Manufacturing 2019 : Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19) - Budapest, Hungary, 4 - 5 July 2019. Ed.: P. Ball, 351–361, Springer
Automated Extraction of Domain-Specific Information from Scientific Publications
Kief, P.; Marquardt, C.; Nau, K.; Scholz, S.; Schmidt, A.
2019. 8th International Conference on Data Analytics, Porto, P, September 22-26, 2019
Automated Extraction of Domain-Specific Information from Scientific Publications
Kief, P.; Marquardt, C.; Nau, K.; Scholz, S.; Schmidt, A.
2019. 8th International Conference on Data Analytics (Data Analytics 2019), Porto, Portugal, September 22–26, 2019
Transportmodelle für Flüssigkeitsfilme
Hofmann, J.; Ponomarev, A.; Gröll, L.
2019. VDI/VDE GMA-Fachausschuss 1.30 „Modellbildung, Identifikation und Simulation in der Automatisierungstechnik“. Tagung (2019), Anif, Austria, September 25–27, 2019
Parameter identification of thermal building models
Sauer; Dominique; Hagenmeyer, V.; Gröll, L.
2019. Doktorandenseminar der Helmholtz-Initiative Energie System 2050 (ES2050 2019), Oberursel, Germany, September 4–5, 2019
Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification
Schutera, M.; Hafner, F. M.; Vogt, H.; Abhau, J.; Reischl, M.
2019. International Workshop on Traffic and Street Surveillance for Safety and Security: in conjuction with IEEE AVSS 2019, September 21th, Taipei, Taiwan, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/AVSS.2019.8909858
Diagnosespektrum somatischer Komorbiditäten und psychische Belastung bei unterschiedlichen AVEM Mustern in der Psychosomatischen Rehabilitation
Wittmann, C.; Reischl, M.; Käfer, M.; Köllner, V.
2019. Deutscher Kongress für Psychosomatische Medizin und Psychotherapie, Berlin, 20.-22.03.2019. doi:10.13140/RG.2.2.34331.31521
Image based analysis of multi-fuel burners in industrial combustion processes
Vogelbacher, M.; Waibel, P.; Matthes, J.; Hyer, M.; Keller, H. B.
2019. Cement, lime, gypsum, 72 (7-8), 56–61
Towards Classification of Technical Sound Events with Deep Learning Models
Rieder, C.; German, M.; Scherer, K.-P.
2019. Wissensmanagement in digitalen Arbeitswelten – Aktuelle Ansätze und Perspektiven (Knowledge Management in Digital Work - Environments State-of-the-Art and Outlook) - Proceedings, 10. Konferenz Professionelles Wissensmanagement, 18. - 20.03.2019, Potsdam, Germany. Ed.: P. Heisig, 297–302, FHP Verlag
Application of image-based process parameters for analyzing multi-fuel burners
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2019. 9th European Combustion Meeting (ECM 2019), Lisboa, P, April 14-17, 2019
Application of image-based process parameters for analyzing multi-fuel burners
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2019. 9th European Combustion Meeting (ECM 2019), Lisbon, Portugal, April 14–17, 2019
Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models
Neumann, F.; Brown, T.
2019. 16th International Conference on the European Energy Market (EEM 19), 18 - 20 September 2019, Ljubljana, Slovenia, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM.2019.8916411
Bildbasierte Analyse von Mehrstoffbrennern bei industriellen Verbrennungsprozessen
Vogelbacher, M.; Waibel, P.; Matthes, J.; Hoyer, M.; Keller, H. B.
2019. Prozesswärme
Image-based analysis of flames in industrial afterburner chambers using geometric constraints
Waibel, P.; Matthes, J.; Vogelbacher, M.; Gröll, L.; Keller, H. B.
2019. 9th European Combustion Meeting : (ECM 2019), 14-17 April 2019, Lisboa, Portugal
A new camera-based flame stability measure for non-oscillating and oscillating combustion [in press]
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2019. 9th European Combustion Meeting : (ECM 2019), 14-17 April 2019, Lisboa, Portugal
Image-based analysis of flames in industrial afterburner chambers using geometric constraints
Waibel, P.; Matthes, J.; Vogelbacher, M.; Gröll, L.; Keller, H. B.
2019. 9th European Combustion Meeting (ECM 2019), Lisbon, Portugal, April 14–17, 2019
Vision system-based inspection and alignment of laminated polymer films for 3D-integration of microsystems
Elkaseer, A.; Salem, M.; Hagenmeyer, V.; Scholz, S.
2019. 8th / 11th IFAC Symposium on Mechatronic Systems and IFAC Symposium on Nonlinear Control Systems (MECHATRONICS / NOLCOS 2019), Vienna, Austria, September 4–6, 2019
Towards Classification of Technical Sound Events with Deep Learning Models
Rieder, C.; Germann, M.; Scherer, K.-P.
2019. 10. Konferenz Professionelles Wissensmanagement - Workshop: Data-Driven Knowledge Management – DDKM (WM 2019), Potsdam, Germany, March 18–20, 2019
A new camera-based flame stability measure for non-oscillating and oscillating combustion
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2019. 9th European Combustion Meeting (ECM 2019), Lisbon, Portugal, April 14–17, 2019
A new camera-based method for measuring the flame stability of non-oscillating and oscillating combustions
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2019. 9th European Combustion Meeting : (ECM 2019), 14-17 April 2019, Lisboa, Portugal
Applanation force monitoring during in vivo corneal confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Bartschat, A.; Stolu, H.; Guthoff, R. R.; Mikut, R.; Köhler, B.; Stacks, O.
2019. 117. Deutsche Ophthalmologische Gesellschaft e.V.: Kongress (DOG-Kongress 2019), Berlin, Germany, September 26–29, 2019
A hybrid analysis approach for transient stability assessment in power systems
Kyesswa, M.; Cakmak, H. K.; Gröll, L.; Kuhnapfel, U.; Hagenmeyer, V.
2019. 2019 IEEE Milan PowerTech, 23-27 June 2019, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810745
Optimal adaptive power flow linearizations: Expected error minimization using polynomial chaos expansion
Mühlpfordt, T.; Hagenmeyer, V.; Molzahn, D. K.; Misra, S.
2019. 2019 IEEE Milan PowerTech, 23-27 June 2019, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810681
A method for sizing centralised energy storage systems using standard patterns
Karrari, S.; Ludwig, N.; Hagenmeyer, V.; Noe, M.
2019. 2019 IEEE Milan PowerTech, 23-27 June 2019, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2019.8810658
Towards distributed OPF using ALADIN
Engelmann, A.; Jiang, Y.; Mühlpfordt, T.; Houska, B.; Faulwasser, T.
2019. 13th IEEE PES Power Tech (2019), Milan, Italy, June 23–27, 2019
Decomposition-based methods for optimization of time-dependent problems
Engelmann, A.; Faulwasser, T.
2019. 6th International conference on Continuous Optimization (ICCOPT 2019), Berlin, 5.-8. August 2019
Distributed Non-Convex Optimization in Power Systems
Engelmann, A.; Mühlpfordt, T.; Jian, Y.; Houska, B.; Faulwasser, T.
2019. 2nd International Conference on "Future Electric Power Systems and the Energy Transition (FEPSET 2019), Champery, Switzerland, February 3–8, 2019
Avoiding Thermal-Stress-Induced Failures by Design Optimization when Brazing Perlucor® to Inconel® 718 Components
Spatafora, L.; Isele, J.; Ritzhaupt-Kleissl, H.-J.; Hagenmeyer, V.; Aktaa, J.
2019. Journal of ceramic science and technology, 10 (2), 1–10. doi:10.4416/JCST2019-00011
Automated fabrication of multi-layer printed electronic circuits using a novel vector ink-jet printing process control and surface mounting of discrete components [in press]
Gengenbach, U.; Ungerer, M.; Koker, L.; Reichert, K.-M.; Stiller, P.; Huang, C.; Hagenmeyer, V.
2019. Joint Conference - 8th IFAC Symposium on Mechatronic Systems - 11th Symposium on Nonlinear Control Systems, September 4-6, 2019, Vienna, Austria
Building Energy Simulations at Urban Scale Based on Standardised Data Models [in press]
Geiger, A.; Benner, J.; Häfele, K.-H.; Hagenmeyer, V.
2019. Proceedings of Building Simulation 2019: 16th Conference of IBPSA. Ed.: V. Corrado, International Building Performance Simulation Association (IBPSA)
Einsatz von VR-Technologien in BIM/GIS
Schürstedt, S.; Geiger, A.
2019. 31. Forum Bauinformatik : 11.–13. September 2019 in Berlin. Proceedings. Hrsg.: M. Sternal, 283–290, Universitätsverlag der TU Berlin
Einsatz von VR-Technologien in BIM/GIS
Schürstedt, S.; Geiger, A.
2019. 31. Forum Bauinformatik (2019), Berlin, Germany, September 11–13, 2019
BioSAXS Measurements Reveal That Two Antimicrobial Peptides Induce Similar Molecular Changes in Gram-Negative and Gram-Positive Bacteria
Gundlach, A. von; Ashby, M. P.; Gani, J.; Lopez-Perez, P. M.; Cookson, A. R.; Ann Huws, S.; Rumancev, C.; Garamus, V. M.; Mikut, R.; Rosenhahn, A.; Hilpert, K.
2019. Frontiers in pharmacology, 10, Art. Nr.: 1127. doi:10.3389/fphar.2019.01127
Ein Microservice für die Abstraktion von Suchmaschinen
Schlachter, T.; Schmitt, C.; Wagner, H.
2019. EuroInfo - environmental informatics : computational sustainability: ICT methods to achieve the UN sustainable development goals : adjunct proceedings of the 33rd edition of the EnviroInfo - the long standing and established international and interdisciplinary conference series on leading environmental information and communication technologies : Kassel, September 23-26, 2019. Hrsg.: R. Schaldach, 143–150, Shaker Verlag
Prediction of Dimensional Error in Down-Facing Surfaces for Laser Powder Bed Fusion Parts [in press]
Charles, A. P.; Elkaseer, A.; Hagenmeyer, V.; Scholz, S.
2019. 3RD World Congress on Micro and Nano Manufacturing, Raleigh WCMNM 2019, North Carolina, USA, 10th - 12th September
FDM Process Optimisation for Low Surface Roughness and Energy Consumption
Elkaseer, A.; Schneider, S.; Scholz, S.
2019. 3RD World Congress on Micro and Nano Manufacturing, Raleigh WCMNM 2019, North Carolina, USA, 10th - 12th September
ANN-based modelling of dimensional accuracy in L-PBF
Charles, A. P.; Elkaseer, A.; Salem, M.
2019. Conference Proceedings - Special Interest Group : Advancing Precision in Additive Manufacturing 2019, 16th - 18th September 2019, Nantes, France, European Society for Precision Engineering and Nanotechnology (euspen)
Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019
Hoffmann, F.; Hüllermeier, E.; Mikut, R. (Eds.)
2019. KIT Scientific Publishing. doi:10.5445/KSP/1000098736
Potential and Challenges of Inkjet-Printing for Wearable Medical Devices [in press]
Koker, L.; Mansour, M.; Ungerer, M.; Reichert, K.-M.; Stiller, P.; Gegenbach, U.
2019. BMT 2019 : 53th Annual Conference of the German Society for Biomedical Engineering : 25. - 26. September 2019, Frankfurt am Main. Ed.: J. Haueisen
Machine Learning Methods for Automated Quantification of Ventricular Dimensions
Schutera, M.; Just, S.; Gierten, J.; Mikut, R.; Reischl, M.; Pylatiuk, C.
2019. Zebrafish, 16 (6), 542–545. doi:10.1089/zeb.2019.1754
Design of aspheric rotation optics
Sieber, I.
2019. Frontiers in Optics + Laser Science APS/DLS, Washington, DC, September 13-17, 2019, FM4C.3, Optica Publishing Group (OSA). doi:10.1364/FIO.2019.FM4C.3
Synchronized continuous high-rate time-series recording in distribution grids for accurate evaluation
Jumar, R.; Maaß, H.; Kühnapfel, U.; Hagenmeyer, V.
2019. 2019 International Conference on Smart Grid Synchronized Measurements and Analytics, SGSMA 2019; Texas A and M UniversityCollege Station; United States; 20 May 2019 through 23 May 2019, Art.-Nr.: 8784664, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SGSMA.2019.8784664
FEM-based study of precision hard turning of stainless steel 316L
Elkaseer, A.; Abdelaziz, A.; Saber, M.; Nassef, A.
2019. Materials, 12 (16), Art.-Nr.: 2522. doi:10.3390/ma12162522
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization
Chaussonnet, G.; Lieber, C.; Yikang, Y.; Gu, W.; Bartschat, A.; Reischl, M.; Koch, R.; Mikut, R.; Bauer, H.-J.
2019. doi:10.5445/IR/1000097897/v3
A Study on the Modeling and Simulation of Bio-inspired Hedgehog Spines Structures for More Efficient Use Digital Manufacturing Processes
O’Sullivan, R.; Rees, A.; Griffiths, C. A.; Wadlinger, J.
2019. Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19), Budapest, Ungarn, 4 - 5 Juli 2019. Ed.: P. Ball, 375–385, Springer. doi:10.1007/978-981-13-9271-9_31
Industrial demand-side flexibility: A benchmark data set
Ludwig, N.; Barth, L.; Wagner, D.; Hagenmeyer, V.
2019. Proceedings of the Tenth ACM International Conference on Future Energy Systems - e-Energy ’19, Phoenix, AZ, USA, June 25 - 28, 2019, 460–473, Association for Computing Machinery (ACM). doi:10.1145/3307772.3331021
Augmented reality-assisted ventricular puncture with marker-based scene registration
Kunz, C.; Schneider, M.; Hlavac, M.; Zenth, D.; Pylatiuk, C.; Hein, B.
2019. International journal of computer assisted radiology and surgery, 14 (Suppl. 1), S151-S152
Internet of Things Solution for Non-invasive Vital Data Acquisition: A Step Towards Smart Healthcare System
Salem, M.; El-Maddah, I.; Youssef, K.; Mohamed, H.
2019. Sustainable Design and Manufacturing 2019 : Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19). Ed.: P. Ball, 387–397, Springer Nature. doi:10.1007/978-981-13-9271-9_32
Towards Distributed Mixed Integer optimization in Energy Systems
Murray, A.; Hagenmeyer, V.; Faulwasser, T.
2019. 2nd International Conference on "Future Electric Power Systems and the Energy Transition (FEPSET 2019), Champery, Switzerland, February 3–8, 2019
buildingSMART Software Zertifizierung
Geiger, A.; Haefele, K.-H.
2019. Ernst & Sohn Special - Bauprodukte digital, April 2019 (April), 21–25
Toward a Unifying Framework Blending Real-Time Optimization and Economic Model Predictive Control
Faulwasser, T.; Pannocchia, G.
2019. Industrial & engineering chemistry research, 58 (30), 13583–13598. doi:10.1021/acs.iecr.9b00782
Benchmarking in classification and regression
Hoffmann, F.; Bertram, T.; Mikut, R.; Reischl, M.; Nelles, O.
2019. Wiley interdisciplinary reviews / Data mining and knowledge discovery, 9 (5), e1318. doi:10.1002/widm.1318
On the Assessment of Thermo-mechanical Degradability of Multi-recycled ABS Polymer for 3D Printing Applications
Charles, A. P.; Bassan, P. M.; Mueller, T.; Elkaseer, A.; Scholz, S. G.
2019. Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19), Budapest, Ungarn, 4 - 5 Juli 2019. Ed.: P. Ball, 363–373, Springer. doi:10.1007/978-981-13-9271-9_30
Safe by Design in 3D printing
Nau, K.; Scholz, S. G.
2019. Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19), Budapest, Ungarn, 4 - 5 Juli 2019. Ed.: P. Ball, 341–350, Springer. doi:10.1007/978-981-13-9271-9_28
Total Cost of Ownership for Different State of the Art FDM Machines (3D Printers)
Fauth, J.; Elkaseer, A.; Scholz, S. G.
2019. Proceedings of the 6th International Conference on Sustainable Design and Manufacturing (KES-SDM 19), Budapest, Ungarn, 4 - 5 Juli 2019. Ed.: P. Ball, 351–361, Springer. doi:10.1007/978-981-13-9271-9_29
Improving Root Cause Analysis by Detecting and Removing Transient Changes in Oscillatory Time Series with Application to a 1,3-Butadiene Process
Zhou, B.; Chioua, M.; Bauer, M.; Schlake, J. C.; Thornhill, N. F.
2019. Industrial & engineering chemistry research, 58 (26), 11234–11250. doi:10.1021/acs.iecr.8b06138
Assessment of a scheduling strategy for dispatching prosumption of an industrial campus
Remo Appino, R.; Ángel González Ordiano, J.; Munze, N.; Mikut, R.; Faulwasser, T.; Hagenmeyer, V.
2019. Internationaler ETG-Kongress 2019 : das Gesamtsystem im Fokus der Energiewende, 8. – 9. Mai 2019, Neckar Forum, Esslingen am Neckar. Hrsg.: C. Rehtanz, 289–294, VDE Verlag
Chance-constrained AC optimal power flow - A polynomial chaos approach
Mühlpfordt, T.; Roald, L.; Hagenmeyer, V.; Faulwasser, T.; Misra, S.
2019. IEEE transactions on power systems, 34 (6), 4806–4816. doi:10.1109/TPWRS.2019.2918363
Design-for-manufacture of high-resolution 3D printed rotation optics
Sieber, I.; Moser, D.; Gengenbach, U.
2019. Optical Fabrication and Testing 2019. Design and Fabrication Congress 2019, Washington, DC, June 10-12, 2019, JW3A.2, Optica Publishing Group (OSA). doi:10.1364/FREEFORM.2019.JW3A.2
Enforcing optimal operation in solid-oxide fuel-cell systems
Avila Ferreira, T. de; Wuillemin, Z.; Faulwasser, T.; Salzmann, C.; Van herle, J.; Bonvin, D.
2019. Energy, 181, 281–293. doi:10.1016/j.energy.2019.04.188
Powerful data analysis and composition with the UNIX-shell
Schmidt, A.; Scholz, S.
2019. Web Engineering: 19th International Conference on Web Engineering, ICWE 2019; Daejeon; South Korea; 11 June 2019 through 14 June 2019. Ed.: M. Bakaev, 582–585, Springer Nature. doi:10.1007/978-3-030-19274-7_49
Feedback, dynamics, and optimal control in climate economics
Kellett, C. M.; Weller, S. R.; Faulwasser, T.; Grüne, L.; Semmler, W.
2019. Annual reviews in control, 47, 7–20. doi:10.1016/j.arcontrol.2019.04.003
Open Source 3-Phase Function Generator for Smart Grid Experiments and Monitoring Device Testing
Jumar, R.; Erdmann, A.; Maaß, H.; Kühnapfel, U.; Hagenmeyer, V.
2019. 2nd International Colloquium on Smart Grid Metrology (SMAGRIMET), Split, Croatia, 9-12 April 2019, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/SMAGRIMET.2019.8720387
High accuracy beam splitting using spatial light modulator combined with machine learning algorithms
Mikhaylov, D.; Zhou, B.; Kiedrowski, T.; Mikut, R.; Lasagni, A.-F.
2019. Optics and lasers in engineering, 121, 227–235. doi:10.1016/j.optlaseng.2019.04.010
The need for a statutory base to establish modern safety directives
Pilz, W.-D.; Schulz-Forberg, B.; Keller, H.; Langenbach, C.
2019. Technische Sicherheit, (3), 21–28
Smart Energy Grid der Zukunft - Securityprobleme und Lösungsansätze
Keller, H. B.
2019. FORUM46 – Interdisziplinäres Forum für Europa e. V
A new camera-based method for measuring the flame stability of non-oscillating and oscillating combustions
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2019. Experimental thermal and fluid science, 105, 27–34. doi:10.1016/j.expthermflusci.2019.03.008
DIY Automated Feeding and Motion Recording System for the Analysis of Fish behaviour
Pylatiuk, C.; Zhao, H.; Gursky, E.; Reischl, M.; Peravali, R.; Foulkes, N.; Loosli, F.
2019. SLAS technology, 24 (4), 394–398. doi:10.1177/2472630319841412
Progression and Evaluation of a Camera-Based Measurement System for Multifuel Burners under Industrial Process Conditions
Vogelbacher, M.; Matthes, J.; Keller, H.; Waibel, P.
2019. IEEE transactions on industrial informatics, 15 (10), 5466–5474. doi:10.1109/TII.2019.2899946
Quanfima: An open source Python package for automated fiber analysis of biomaterials
Shkarin, R.; Shkarin, A.; Shkarina, S.; Cecilia, A.; Surmenev, R. A.; Surmeneva, M. A.; Weinhardt, V.; Baumbach, T.; Mikut, R.
2019. PLOS ONE, 14 (4), e0215137. doi:10.1371/journal.pone.0215137
Advanced Ceramic Breeder Pebble Production: Controlling the Pebble size Distribution
Leys, O.; Waibel, P.; Matthes, J.; Knitter, R.
2019. 20th International Workshop on Ceramic Breeder Blanket Interactions (CBBI-20 2019), Karlsruhe, Germany, September 18–20, 2019
Automated Classification of Fertilized Zebrafish Embryos
Neukum, A.; Bartschat, A.; Breitwieser, H.; Strähle, U.; Dickmeis, T.; Pylatiuk, C.
2019. Zebrafish, 16 (3), 326–328. doi:10.1089/zeb.2019.1728
Ruminal antimicrobial peptides as promising molecules to treat pathogenic bacteria, including resistant strains
Oyama, L. B.; Olleik, H.; Nery Teixeira, A. C.; Guidini, M. M.; Maresca, M.; Bazzolli, D.; Cookson, A. C.; Fuentes, N. F.; Vallin, H.; Pickup, J.; Mikut, R.; Hilpert, K.; Richards, J.; Wootton, M.; Edwards, J. E.; Perrier, J.; Hess, M.; Mantovani, H. C.; Creevey, C. J.; Huws, S. A.
2019. Gordon Research Conference - Antimicrobial Peptides: Mechanisms and Application: Realizing the Potential of Antimicrobial Host Defense Peptides for Human and Veterinary Medicine (GRC 2019), Lucca, Italy, February 24–March 1, 2019
Principal flow paterns across renewable electricity networks
Schäfer, M.; Hofmann, F.; Kruse, J.; Brown, T.; Hörsch, J.; Schramm, S.; Greiner, M.
2019. DPG-Frühjahrstagung der Sektion Kondensierte Materie (SKM), Fachverband Physik sozio-ökonomischer Systeme (2019), Regensburg, Germany, March 31–April 5, 2019
Implementierung eines Werkzeuges zur Interpretation von Versorgungsnetzen aus dem Programmsystem STANET
Riester, M.; Geiger, A.
2019. REAL CORP 2019. Ed.: M. Schrenk, Karlsruher Institut für Technologie (KIT)
In silico identification of novel peptides with antibacterial activity against multidrug resistant Staphylococcus aureus
Oyama, L. B.; Olleik, H.; Nery Teixeira, A. C.; Guidini, M. M.; Pickup, J. A.; Cookson, A. R.; Vallin, H.; Wilkinson, T.; Bazzolli, D.; Richards, J.; Wootton, M.; Mikut, R.; Hilpert, K.; Maresca, M.; Perrier, J.; Hess, M.; Mantovani, H. C.; Fernandez-Fuentes, N.; Creevey, C. J.; Huws, S. A.
2019. bioRxiv beta, 42 S. doi:10.1101/577221
Digital technologies in airport ground operations
Kovynyov, I.; Mikut, R.
2019. Netnomics, 20 (1), 1–30. doi:10.1007/s11066-019-09132-5
Data mining tools
Bartschat, A.; Reischl, M.; Mikut, R.
2019. Wiley interdisciplinary reviews / Data mining and knowledge discovery, 9 (4), Article: e1309. doi:10.1002/widm.1309
The HMG box transcription factors Sox1a and Sox1b specify a new class of glycinergic interneuron in the spinal cord of zebrafish embryos
Gerber, V.; Yang, L.; Takamiya, M.; Ribes, V.; Gourain, V.; Peravali, R.; Stegmaier, J.; Mikut, R.; Reischl, M.; Ferg, M.; Rastegar, S.; Strähle, U.
2019. Development <Cambridge>, 146 (4), dev172510. doi:10.1242/dev.172510
Self-Flushing in EDM Drilling of Ti6Al4V Using Rotating Shaped Electrodes
Goiogana, M.; Elkaseer, A.
2019. Materials, 12 (6), Article: 989. doi:10.3390/ma12060989
Effect of Process Parameters on the Generated Surface Roughness of Down-Facing Surfaces in Selective Laser Melting
Charles, A. P.; Elkaseer, A.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2019. Applied Sciences, 9 (6), Article: 1256. doi:10.3390/app9061256
New Data-Driven Probabilistic Forecasting Methods with Applications in Energy Systems. PhD dissertation
González Ordiano, J. Á.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000092701
Advanced Electric Discharge Machining of Stainless Steels: Assessment of the State of the Art, Gaps and Future Prospect
Abu Qudeiri, J.; Saleh, A.; Ziout, A.; Mourad, A.-H.; Abidi, M.; Elkaseer, A.
2019. Materials, 12 (6), 907. doi:10.3390/ma12060907
lnduced Jet Break-Up Fabrication of Advanced Ceramic Breeder Pebbles
Leys, O.; Waibel, P.; Matthes, J.; Knitter, R.
2019. 14th International Symposium on Fusion Nuclear Technology (ISFNT 2019), Budapest, Hungary, September 22–27, 2019
A Novel Optical Tissue Clearing Protocol for Mouse Skeletal Muscle to Visualize Endplates in Their Tissue Context
Williams, M. P. I.; Rigon, M.; Straka, T.; Hörner, S. J.; Thiel, M.; Gretz, N.; Hafner, M.; Reischl, M.; Rudolf, R.
2019. Frontiers in cellular neuroscience, 13, Article No.49. doi:10.3389/fncel.2019.00049
Architectural Concept and Evaluation of a Framework for the Efficient Automation of Computational Scientific Workflows: An Energy Systems Analysis Example
Liu, J.; Braun, E.; Düpmeier, C.; Kuckertz, P.; Ryberg, D.; Robinius, M.; Stolten, D.; Hagenmeyer, V.
2019. Applied Sciences, 9 (4), Article no: 728. doi:10.3390/app9040728
Advances in near net shape polymer manufacturing through microcellular injection moulding
Llewelyn, G.; Rees, A.; Griffiths, C. A.; Scholz, S. G.
2019. Near net shape manufacturing processes. Ed.: K. Gupta, 177–189, Springer International Publishing. doi:10.1007/978-3-030-10579-2_8
Modellbasiertes IT-Sicherheitssystem für vernetzte Komponenten zukünftiger Energiesysteme
Reibelt, K.; Elbez, G.; Scherer, O.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2019. 83. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP), Arbeitskreis Energie (2019), Rostock, Germany, March 10–15, 2019
Decarbonization of the European energy system with strong sector couplings
Zhu, K.; Victoria, M.; Brown, T.; Andresen, G. B.
2019. 83. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP), Arbeitskreis Energie (2019), Rostock, Germany, March 10–15, 2019
Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective
Matschek, J.; Bäthge, T.; Faulwasser, T.; Findeisen, R.
2019. Handbook of Model Predictive Control. Ed.: S. Raković, 169–198, Springer International Publishing. doi:10.1007/978-3-319-77489-3_8
Breakthrough in permanent cooling of instrumentation electronics - Results of systematic experimental & Analytical refrigerant selection, dynamic seals evaluation and robust engine design
Holbein, B.
2019. Geothermal Resources Council 2018 Annual Meeting: Geothermal’s Role in Today’s Energy Market, GRC 2018; Peppermill Resort Spa CasinoReno; United States; 14 October 2018 through 17 October 2018, 1948–1960, Geothermal Resources Council
Comprehensive characterization and material modeling for ceramic injection molding simulation performance validations
Tosello, G.; Marhöfer, D. M.; Islam, A.; Müller, T.; Plewa, K.; Piotter, V.
2019. The international journal of advanced manufacturing technology, 102 (1-4), 225–240. doi:10.1007/s00170-018-03251-3
Definition von Flexibilität in einem zellulär geprägten Energiesystem
Lehmann, N.; Kraft, E.; Duepmeier, C.; Mauser, I.; Förderer, K.; Sauer, D.
2019. Zukünftige Stromnetze 2019 : 30./31. Januar 2019 in Berlin, 459–469, Conexio
Chancen der Digitalisierung für die Energiewende
Waczowicz, S.; Müller-Langer, F.; Kröner, M.; Steubing, M.; Fischedick, M.; Weigel, P.; Hagenmeyer, V.
2019. GWF / Gas+Energie, (1), 60–64
Counter-intuitive behaviour of energy system models under CO₂ caps and prices
Weber, J.; Heinrichs, H. U.; Gillessen, B.; Schumann, D.; Hörsch, J.; Brown, T.; Witthaut, D.
2019. Energy, 170, 22–30. doi:10.1016/j.energy.2018.12.052
Impact of CO2 prices on the design of a highly decarbonised coupled electricity and heating system in Europe
Zhu, K.; Victoria, M.; Brown, T.; Andresen, G. B.; Greiner, M.
2019. Applied energy, 236, 622–634. doi:10.1016/j.apenergy.2018.12.016
Laser Ablation of Cobalt-Bound Tungsten Carbide and Aluminium Oxide Ceramic: Experimental Investigation with ANN Modelling and GA Optimisation
Elkaseer, A.; Lambarri, J.; Quintana, I.; Scholz, S.
2019. Sustainable Design and Manufacturing 2018 – Proceedings of the 5th International Conference on Sustainable Design and Manufacturing (KES-SDM-18). Ed.: D. Dao, 21–30, Springer International Publishing. doi:10.1007/978-3-030-04290-5_3
Performing energy modelling exercises in a transparent way - The issue of data quality in power plant databases
Gotzens, F.; Heinrichs, H.; Hörsch, J.; Hofmann, F.
2019. Energy strategy reviews, 23, 1–12. doi:10.1016/j.esr.2018.11.004
Towards Distributed OPF using ALADIN
Engelmann, A.; Jiang, Y.; Muhlpfordt, T.; Houska, B.; Faulwasser, T.
2019. IEEE transactions on power systems, 34 (1), 584–594. doi:10.1109/TPWRS.2018.2867682
Modelling and experimental validation of surface roughness in precision turning of dual-phase materials considering process uncertainties
Elsanabary, S.; Elkaseer, A.; Abd-Rabbo, S.; AbdElsalam, M.; Abdou, S.
2019. International journal on interactive design and manufacturing, 13 (1), 59–74. doi:10.1007/s12008-018-0490-8
Industrial internet of things solution for real-time monitoring of the additive manufacturing process
Salama, M.; Elkaseer, A.; Saied, M.; Ali, H.; Scholz, S.
2019. Advances in Intelligent Systems and Computing, 852, 355–365. doi:10.1007/978-3-319-99981-4_33
Celitement quality parameter determination by online NIR-spectroscopy
Lutz, C.; Matthes, J.; Waibel, P.; Precht, U.; Beuchle, G.; Garbev, K.; Schweike, U.; Stemmermann, P.; Keller, H. B.
2019. Advances in cement research, 31 (2), 80–91. doi:10.1680/jadcr.17.00016
2018
Design studies of varifocal rotation optics
Sieber, I.; Stiller, P.; Gengenbach, U.
2018. Optical engineering, 57 (12), 125102/1–7. doi:10.1117/1.OE.57.12.125102
Author Correction: 3D biodegradable scaffolds of polycaprolactone with silicate-containing hydroxyapatite microparticles for bone tissue engineering: high-resolution tomography and in vitro study
Shkarina, S.; Shkarin, R.; Weinhardt, V.; Melnik, E.; Vacun, G.; Kluger, P. J.; Loza, K.; Epple, M.; Ivlev, S. I.; Baumbach, T.; Surmeneva, M. A.; Surmenev, R. A.
2018. Scientific reports, 8 (1), Article No 17589. doi:10.1038/s41598-018-35952-w
Quantitative morphometric analysis of adult teleost fish by X-ray computed tomography
Weinhardt, V.; Shkarin, R.; Wernet, T.; Wittbrodt, J.; Baumbach, T.; Loosli, F.
2018. Scientific reports, 8 (1), Art. Nr.: 16531. doi:10.1038/s41598-018-34848-z
3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
Allgeier, S.; Bartschat, A.; Bohn, S.; Peschel, S.; Reichert, K.-M.; Sperlich, K.; Walckling, M.; Hagenmeyer, V.; Mikut, R.; Stachs, O.; Köhler, B.
2018. Scientific reports, 8 (1), Article Number 7468. doi:10.1038/s41598-018-25915-6
The Energy Application Domain Extension for CityGML: enhancing interoperability for urban energy simulations
Agugiaro, G.; Benner, J.; Cipriano, P.; Nouvel, R.
2018. Open geospatial data, software and standards, 3 (1), 2. doi:10.1186/s40965-018-0042-y
Optimierung in der Automatisierungstechnik
Graichen, K.; Gröll, L.
2018. Automatisierungstechnik, 66 (11), 875–876. doi:10.1515/auto-2018-0122
Klassifikation von Optimierungsproblemen
Gröll, L.
2018. Automatisierungstechnik, 66 (11), 903–927. doi:10.1515/auto-2018-0081
Corneal Subbasal Nerve Plexus Changes in Severe Diabetic Charcot Foot Deformity: A Pilot Study in Search for a DNOAP Biomarker
Herlyn, A.; Prakasam, R. K.; Peschel, S.; Allgeier, S.; Köhler, B.; Winter, K.; Guthoff, R. F.; Mittlmeier, T.; Stachs, O.
2018. Journal of diabetes research, 2018, Art. Nr.: 5910639. doi:10.1155/2018/5910639
Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters
Masino, J.; Thumm, J.; Levasseur, G.; Frey, M.; Gauterin, F.; Mikut, R.; Reischl, M.
2018. Journal of advanced transportation, 2018, Article: 8647607. doi:10.1155/2018/8647607
Wear behaviour of grey cast iron with the presence of copper addition
Abdou, S.; Elkaseer, A.; Kouta, H.; Abu Qudeiri, J.
2018. Advances in mechanical engineering, 10 (10), 1–8. doi:10.1177/1687814018804741
A hybrid auricular control system: direct, simultaneous, and proportional myoelectric control of two degrees of freedom in prosthetic hands
Schmalfuss, L.; Hahne, J.; Farina, D.; Hewitt, M.; Kogut, A.; Doneit, W.; Reischl, M.; Rupp, R.; Liebetanz, D.
2018. Journal of neural engineering, 15 (5), 056028. doi:10.1088/1741-2552/aad727
Cross-sectional image quality improvements in 3D corneal confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Prakasam, R.; Allgeier, S.; Reichert, K.-M.; Bartschat, A.; Stolz, H.; Guthoff, R.; Köhler, B.; Mikut, R.; Stachs, O.
2018, September 27. 116. Deutsche Ophthalmologische Gesellschaft e.V.: Kongress (DOG-Kongress 2018), Bonn, Germany, September 27–30, 2018
Reflection on boon and bane of Water Absorbing Components in Active Implants during Package Testing and Operation
Koker, L.; Gengenbach, U.; Bretthauer, G.
2018. Current directions in biomedical engineering, 4 (1), 319–322. doi:10.1515/cdbme-2018-0077
Analysis of focus shift speed for in vivo 3D corneal confocal microscopy
Allgeier, S.; Bartschat, A.; Bohn, S.; Reichert, K.-M.; Sperlich, K.; Mikut, R.; Stachs, O.; Köhler, B.
2018. Biomedical engineering, 63 (s1), S192. doi:10.1515/bmt-2018-6037
Selection of safe "salt-in-carbonate" electrolytes for lithium-ion batteries
Wang, Z.; Hofmann, A.; Hanemann, T.
2018, September. Electrochemistry, Ulm, Germany, September 24 - 26, 2018
Response to ‘Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems’
Brown, T. W.; Bischof-Niemz, T.; Blok, K.; Breyer, C.; Lund, H.; Mathiesen, B. V.
2018. Renewable & sustainable energy reviews, 92, 834–847. doi:10.1016/j.rser.2018.04.113
A Consistent View of the Smart Grid: Bridging the Gap between IEC CIM and IEC 61850
Schumilin, A.; Duepmeier, C.; Stucky, K.-U.; Hagenmeyer, V.
2018. 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Praha, CZ, August 29–31, 2018, 321–325, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEAA.2018.00059
Expert vs. novice comparison for walking and running using three-dimensional uncontrolled manifold-approach
Möhler, F.; Marahrens, S.; Ringhof, S.; Mikut, R.; Stein, T.
2018. 23rd Annual Congress of the European College of Sport Science. Dublin, Ireland, July 04 - July 07, 2018 - Book of Abstracts. Ed.: M. Murphy, 236, European College of Sport Science (ECSS)
Automated Versatile DIY Microscope Platform
Pylatiuk, C.; Vogt, M.; Scheikl, P.; Gottwald, and E.
2018, July. 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Honolulu, HI, USA, July 17–21, 2018
Automated Versatile DIY Microscope Platform
Pylatiuk, C.; Vogt, M.; Scheikl, P.; Gottwald, and E.
2018. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 5310–5312, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EMBC.2018.8513465
Ambulatory sensor for circumference monitoring of lower limbs
Gehin, C.; Grenier, E.; Chaigneau, C.; Massot, B.; Claude, A.; Montalibet, A.; McAdams, E.
2018, July. 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Honolulu, HI, USA, July 17–21, 2018. doi:10.1109/EMBC.2018.8513565
Efficient Coupling Interfaces in Photonic Systems Enabled by Printed Freeform Micro-Optics
Koos, C.; Freude, W.; Randel, S.; Dietrich, P.-I.; Blaicher, M.; Xu, Y.; Billah, M. R.; Hoose, T.; Trappen, M.; Hofmann, A.
2018. 20th International Conference on Transparent Optical Networks, ICTON 2018; Bucharest; Romania; 1 July 2018 through 5 July 2018, Art. Nr.: 8473851, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICTON.2018.8473851
Hybrid integration of silicon photonics circuits and InP lasers by photonic wire bonding
Billah, M. R.; Blaicher, M.; Hoose, T.; Dietrich, P.-I.; Marin-Palomo, P.; Lindenmann, N.; Nesic, A.; Hofmann, A.; Troppenz, U.; Moehrle, M.; Randel, S.; Freude, W.; Koos, C.
2018. Optica, 5 (7), 876–883. doi:10.1364/OPTICA.5.000876
A distributed feasible-side convergent modifier-adaptation scheme for interconnected systems, with application to gas-compressor stations
Milosavljevic, P.; Schneider, R.; Cortinovis, A.; Faulwasser, T.; Bonvin, D.
2018. Computers & chemical engineering, 115, 474–486. doi:10.1016/j.compchemeng.2018.05.006
Active directional modifier adaptation for real-time optimization
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2018. Computers & chemical engineering, 115, 246–261. doi:10.1016/j.compchemeng.2018.02.016
Real-Time optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes
Avila Ferreira, T. de; Shukla, H. A.; Faulwasser, T.; Jones, C. N.; Bonvin, D.
2018. European Control Conference (ECC18), Limassol, CY, June 12-15, 2018, 465–470, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ECC.2018.8550397
Optimal Load Sharing for Serial Compressors via Modifier Adaptation
Milosavljevic, P.; Cortinovis, A.; Schneider, R.; Faulwasser, T.; Mercangoz, M.; Bonvin, D.
2018. Proceedings European Control Conference (ECC18), Limassol, CY, June 12-15, 2018, 2306–2311, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ECC.2018.8550102
The Price of Uncertainty: Chance-Constrained OPF vs. in-Hindsight OPF
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 2018 Power Systems Computation Conference (PSCC), Dublin, IRL, June 11-15, 2018, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/PSCC.2018.8442162
Auction Design to Use Flexibility Potentials in the Energy - Intensive Industry
Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2018. 15th International Conference on the European Energy Market (EEM), Lodz, Poland, 27–29 June 2018, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM.2018.8470003
Design for manufacture of a varifocal rotation optics
Sieber, I.; Stiller, P.; Moser, D.; Gengenbach, U.
2018, June. SPIE Optical Systemy Design, Frankfurt, May 14-17, 2018
Design for manufacture of a varifocal rotation optics
Sieber, I.; Stiller, P.; Gengenbach, U.; Moser, D.
2018. Optical Design and Engineering VII. Ed.: L. Mazuray, 10, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2311650
Cellular in vivo 3D imaging of the cornea by confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Allgeier, S.; Bartschat, A.; Prakasam, R.; Reichert, K.-M.; Stolz, H.; Guthoff, R.; Mikut, R.; Köhler, B.; Stachs, O.
2018. Biomedical optics express, 9 (6), 2511–2525. doi:10.1364/BOE.9.002511
Simultaneous Analysis of Sensor Data for Breath Control in Respiratory Air
Seifert, R.; Conrad, T.; Peter, J.; Keller, H.
2018. Chemosensors, 6 (2), 15. doi:10.3390/chemosensors6020015
Experimental analysis of spallation particle trajectories in an arc-jet environment
Bailey, S. C. C.; Bauer, D.; Panerai, F.; Splinter, S. C.; Danehy, P. M.; Hardy, J. M.; Martin, A.
2018. Experimental thermal and fluid science, 93, 319–325. doi:10.1016/j.expthermflusci.2018.01.005
A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows
Liu, J.; Braun, E.; Dupmeier, C.; Kuckertz, P.; Ryberg, D. S.; Robinius, M.; Stolten, D.; Hagenmeyer, V.
2018, April. IEEE International Conference on Software Architecture (ICSA 2018), Seattle, WA, USA, April 30–May 4, 2018
A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows
Liu, J.; Braun, E.; Dupmeier, C.; Kuckertz, P.; Ryberg, D. S.; Robinius, M.; Stolten, D.; Hagenmeyer, V.
2018. 2018 IEEE International Conference on Software Architecture (ICSA), Seattle, WA, April 30 - May 4, 2018, 145–155, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSA.2018.00024
In situ 3D nanoprinting of free-form coupling elements for hybrid photonic integration
Dietrich, P.-I.; Blaicher, M.; Reuter, I.; Billah, M.; Hoose, T.; Hofmann, A.; Caer, C.; Dangel, R.; Offrein, B.; Troppenz, U.; Moehrle, M.; Freude, W.; Koos, C.
2018. Nature photonics, 12 (4), 241–247. doi:10.1038/s41566-018-0133-4
The DaNa2.0 Knowledge Base Nanomaterials - An Important Measure Accompanying Nanomaterials Development
Krug, H.; Bohmer, N.; Kühnel, D.; Marquardt, C.; Nau, K.; Steinbach, C.
2018. Nanomaterials, 8 (4), 204. doi:10.3390/nano8040204
Hierarchical Distributed ADMM for Predictive Control with Applications in Power Networks
Braun, P.; Faulwasser, T.; Grüne, L.; Kellett, C. M.; Weller, S. R.; Worthmann, K.
2018. IFAC Journal of Systems and Control, 3, 10–22. doi:10.1016/j.ifacsc.2018.01.001
Using water-soluble additive manufacturing for cheap and soft silicon organ models
Reichard, D.; Gern, M.; Funke, I.; Bodenstedt, S.; Kenngott, H.; Müller-Stich, B. P.; Pylatiuk, C.; Dillmann, R.; Speidel, S.
2018. Medical Imaging 2018 : Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, February 10–15, 2018. Ed.: B. Fei, Article No. 105761Q, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2293339
Rotor-angle versus voltage instability in the third-order model for synchronous generators
Sharafutdinov, K.; Rydin Gorjão, L.; Matthiae, M.; Faulwasser, T.; Witthaut, D.
2018. Chaos, 28 (3), Art.Nr. 033117. doi:10.1063/1.5002889
Image-Based Characterization of Alternative Fuel Combustion With Multifuel Burners
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2018. IEEE transactions on industrial informatics, 14 (2), 588–597. doi:10.1109/TII.2017.2742533
A comprehensive modelling framework for demand side flexibility in smart grids
Barth, L.; Ludwig, N.; Mengelkamp, E.; Staudt, P.
2018. Computer science - research and development, 33 (1-2), 13–23. doi:10.1007/s00450-017-0343-x
On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages
Appino, R. R.; González Ordiano, J. Á.; Mikut, R.; Faulwasser, T.; Hagenmeyer, V.
2018. Applied energy, 210, 207–1218. doi:10.1016/j.apenergy.2017.08.133
Insecurity of A Key-Policy Attribute Based Encryption Scheme With Equality Test
Liao, Y.; Chen, H.; Li, F.; Jiang, S.; Zhou, S.; Ramadan, M.
2018. IEEE Access, 6, 10189–10196. doi:10.1109/ACCESS.2018.2808944
Cross-sectional image quality improvements in 3D corneal confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Prakasam, R.; Allgeier, S.; Reichert, K.-M.; Bartschat, A.; Stolz, H.; Guthoff, R.; Köhler, B.; Mikut, R.; Stachs, O.
2018. Der Ophthalmologe, 115 (Suppl 1), 74
Comparison of Machine Learning Approaches for Time-series-based Quality Monitoring of Resistance Spot Welding (RSW)
Zhou, B.; Pychynski, T.; Reischl, M.; Mikut, R.
2018. Archives of Data Science, Series A (Online First), 5 (1), A13, 17 S. online. doi:10.5445/KSP/1000087327/13
A Cost-efficient Software Testbed for Cyber-Physical Security in IEC 61850-based Substations
Elbez, G.; Keller, H. B.; Hagenmeyer, V.
2018. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018; Aalborg; Denmark; 29 October 2018 through 31 October 2018, Art. Nr.: 8587456, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SmartGridComm.2018.8587456
Policy optimization for optimal power flow under uncertainty
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 2nd International Symposium on Energy System Optimization (ISESO 2018), Karlsruhe, Germany, October 10–11, 2018
Microservice-based data management for smart grid research
Süß, W.; Braun, E.; Stucky, K.-U.
2018. SBD Workshop (2018), Jülich, Germany, June 11–12, 2018
Zur Stabilitätsanalyse von Totzeitsystemen
Scholl, T.; Hagenmeyer, V.; Gröll, L.
2018. Tagung des GMA-Fachausschusses 1.40 ’Systemtheorie und Regelungstechnik’ (2018), Anif, Austria, September 17–19, 2018
Optimal load sharing for serial compressors via modifier adaptation
Milosavljevic, P.; Cortinovis, A.; Schneider, R.; Faulwasser, T.; Mercangöz, M.; Bonvin, D.
2018. European Control Conference (ECC 2018), Limassol, Cyprus, June 12–15, 2018
Real-time optimization of uncertain process systems via modifier adaptation and Gaussian processes
Avila Ferreira, T. de; Shukla, H. A.; Faulwasser, T.; Jones, C. N.; Bonvin, D.
2018. European Control Conference (ECC 2018), Limassol, Cyprus, June 12–15, 2018
Chancen der Digitalisierung für die Energiewende
Hagenmeyer, V.
2018. Jahrestagung des Forschungsverbundes Erneuerbare Energien (FVEE 2018), Berlin, Germany, October 17–18, 2018
Errors in online cable parameter estimation
Jumar, R.
2018. 3. Retreat des DFG Graduiertenkollegs 2153 ’Energiezustandsdaten’ (2018), Gleiszellen-Gleishorbach, Germany, October 8–10, 2018
A highspeed-camera based measurement system for the online-analysis of the lithium ceramic breeder pebble production
Waibel, P.; Haas, M.; Matthes, J.; Leys, O.; Keller, H. B.; Knitter, R.
2018. BEYOND – World Sustainable Built Environment Conference (2018), Karlsruhe, Germany, September 13–14, 2018
Cross-simulation KIT-DTU: First results
Engelmann, A.
2018. 9th SmiLES Technical Workshop (2018), Karlsruhe, Germany, October 22–23, 2018
Vision digitale Zukunft. Cyber Security Problematik und Lösungsansätze
Keller, H. B.
2018. Sicherheit + Management, 27 (11), 60–62
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning [in press]
Schutera, M.; Goby, N.; Smolarek, S.; Reischl, M.
2018. Accepted to 32nd Annual Conference on Neural Information Processing Systems (NIPS), Montreal, CDN, December 3-8, 2018
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning
Schutera, M.; Goby, N.; Smolarek, S.; Reischl, M.
2018. 32nd Annual Conference on Neural Information Processing Systems (NIPS 2018), Montreal, Canada, December 3–8, 2018
Smart Energy Grid der Zukunft
Keller, H. B.; Elbez, G.; Hagenmeyer, V.
2018. 5. Berliner Gesamtkonferenz der Sicherheitsinstitutionen (BGKdSI 2018), Berlin, Germany, September 14, 2018
Integrative phenotyping of Zebrafish larvae: high-throughput and high-content morphological and behavioral screening Platforms
Peravali, R.; Marcato, D.; Gursky, E.; Ferg, M.; Geisler, R.; Stegmaier, J.; Pylatiuk, C.; Mikut, R.; Strähle, U.
2018. 13th International Zebrafish Conference (IZFC 2018), Madison, WI, USA, June 20–24, 2018
Systems Genetics Approach to Study Congenital Heart Disease in a Fish Model
Gierten, J.; Loosli, F.; Gehrig, J.; Pylatiuk, C.; Fitzgerald, T.; Birney, E.; Wittbrodt, J.; Gorenflo, M.
2018. The thoracic and cardiovascular surgeon, 66 (S02). doi:10.1055/s-0038-1628326
Systems Genetics Approach to Study Congenital Heart Disease in a Fish Model
Gierten, J.; Loosli, F.; Gehrig, J.; Pylatiuk, C.; Fitzgerald, T.; Birney, E.; Wittbrodt, J.; Gorenflo, M.
2018. 50th Annual Meeting of the German Society for Pediatric Cardiology (DGPK 2018), Leipzig, Germany, February 17–20, 2018
Automatisierte Generierung eines 3D-Baumkatasters am Beispiel des KIT Campus Nord
Kunz, D.; Geiger, A.
2018. 30.Forum Bauinformatik : von jungen Forschenden für junge Forschende. Hrsg.: M. Steiner, 217–224, Bauhaus-Universität Weimar
Economic MPC with gradient-correcting end penalties
Faulwasser, T.; Zanon, M.
2018. 14th Viennese Conference on Optimal Control and Dynamic Games (2018), Vienna, Austria, July 3–6, 2018
The impact of sector-coupling on transmission reinforcement needs in a highly-renewable European energy scenario
Hörsch, J.; Hagenmeyer, V.; Brown, T.
2018. 17th Wind Integration Workshop : International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants (WIW 2018), Stockholm, Sweden, October 18, 2018
Erfahrungen beim Aufbau und Betrieb von webbasierten Messnetzen im Umweltbereich
Schlachter, T.
2018. Tech-TRANSFER Digitalisierung in der Wasserversorgung - Künstliche Intelligenz, Algorithmen, Datenplattformen, Wasser 4.0 (2018), Karlsruhe, Germany, November 14, 2018
Multivalent neighborhood heat grid including power-to-heat & shared storage concept
Holbein, B.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Grand Renewable Energy 2018 International Conference and Exhibition, Pacifico Yokohama, J, June 17-22, 2018. Proceedings on DVD
Multivalent neighborhood heat grid including power-to-heat & shared storage concept
Holbein, B.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Grand Renewable Energy International Conference and Exhibition (2018), Yokohama, Japan, June 17–22, 2018
Transfer learning versus multi-agent learning regarding distributed decision-making in highway traffic
Schutera, M.; Goby, N.; Neumann, D.; Reischl, M.
2018. Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, including ECAI/IJCAI, AAMAS and ICML 2018 conferences (FAIM 2018), Stockholm, Sweden, July 14, 2018. Ed.: A.L.C. Bazzan, 57–62
Transfer learning versus multi-agent learning regarding distributed decision-making in highway traffic
Schutera, M.; Goby, N.; Neumann, D.; Reischl, M.
2018. 10th International Workshop on Agents in Traffic and Transportation (ATT 2018), Stockholm, Sweden, July 14, 2018
ReCal - an innovative mathematical procedure to determine the data of timely recalibration for sensor systems with metal oxide gas sensors
Seifert, R.; Keller, H. B.
2018. SENSORDEVIES 2018 : The 9th International Conference on Sensor Device Technologies and Applications. Ed.: P.E. Cruvinel, 181–184, International Academy, Research, and Industry Association (IARIA)
ReCal - an innovative mathematical procedure to determine the data of timely recalibration for sensor systems with metal oxide gas sensors
Seifert, R.; Keller, H. B.
2018. 9th International Conference on Sensor Device Technologies and Applications (SENSORDEVICES 2018), Venice, Italy, September 16–20, 2018
Mixed-Integer vs. Real-Valued Formulations of Battery Scheduling Problems
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 10th IFAC Symposium on Control of Power and Energy Systems (CPES 2018), Tokyo, Japan, September 4–6, 2018
Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch
Murray, A.; Engelmann, A.; Hagenmeyer, V.; Faulwasser, T.
2018. 10th Symposium on Control of Power and Energy Systems (CEPS 2018), Tokyo, Japan, September 4–6, 2018
Compensation of input delays
Ponomarev, A.; Hofmann, J.
2018. Siegmundsburg Workshop Mathematische Systemtheorie (2018), Ilmenau, Germany, September 24–25, 2018
eASiMOV - A New Framework for Power Grid Analysis
Çakmak, H. K.; Kyesswa, M.; Kühnapfel, U. G.; Hagenmeyer, V.
2018. 7. Annual Conference of the KIT Energy Center (2018), Karlsruhe, Germany, June 26, 2018. doi:10.13140/RG.2.2.15952.20480
Zur Rolle der Adjungierten in der ökonomischen modellprädiktiven Regelung
Faulwasser, T.; Zanon, M.
2018. Gemeinsamer Workshop des GMA Fachausschusses 1.40 und des GAMM Fachausschusses Dynamik und Regelungstheorie (2018), Kiel, Germany, September 17–21, 2018
Economic MPC - dissipativity, turnpikes and adjoints
Faulwasser, T.
2018. Slovak University of Technology (2018), Bratislava, Slovakia, September 28, 2018
Nonlinear dynamics, optimization and control of distributed energy systems. 661.WE-Heraeus-Seminar
Faulwasser, T.; Knebel, J.; Robinius, M.; Witthaut, D.
2018. Physik-Journal, 17 (5), 62
XPlanung und INSPIRE
Benner, J.
2018. Geonetzwerk.metropoleRuhr Workshop ’Der digitale Plan’ (2018), Essen, Germany, November 20, 2018
Nutzung von 3D-Gebäudemodellen für thermische Simulationen auf Gebäude- und Stadtebene
Benner, J.
2018. DGfK Workshop ’3D-Stadtmodelle’ (2018), Bonn, Germany, November 13–14, 2018
Distributed Mixed-Integer Optimization for Reactive Power Dispatch
Murray, A.; Engelmann, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 10th IFAC Symposium on Control of Power and Energy Systems (CPES 2018), Tokyo, Japan, September 4–6, 2018
A knowledge-based decision support system for micro and nano manufacturing process chains
Müller, T.; Hagenmeyer, V.; Schmidt, A.; Scholz, S.; Elkaseer, A.
2018. 44th Euromicro Conference on Software Engineering and Advanced Applications (2018), Prague, Czechia, August 29–31, 2018
Automatisierte Generierung eines 3D-Baumkatasters am Beispiel des KIT Campus Nord
Kunz, D.; Geiger, A.
2018. 30. Forum Bauinformatik (2018), Weimar, Germany, September 19–21, 2018
Credit Cycles and Monetary Policy in a Model with Regime Switches
Faulwasser, T.; Gross, M.; Semmler, W.
2018. SSRN eLibrary, 54 Seiten. doi:10.2139/ssrn.3288763
Optimal Power Flow Subject to Non-Gaussian Stochastic Uncertainties: An L²-based Approach
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. Proceedings in applied mathematics and mechanics, 18 (1, SI), e201800371. doi:10.1002/pamm.201800371
Mixed-Integer vs. Real-Valued Formulations of Battery Scheduling Problems
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. IFAC-PapersOnLine, 51 (28), 350–355. doi:10.1016/j.ifacol.2018.11.727
Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch
Murray, A.; Engelmann, A.; Hagenmeyer, V.; Faulwasser, T.
2018. IFAC-PapersOnLine, 51 (28), 368–373. doi:10.1016/j.ifacol.2018.11.730
Interactive and Quantitative Knowledge-Discovery in Large-Scale 3D Tracking Data. PhD dissertation
Schott, B.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000088877
Distributed optimal power flow using ALADIN
Engelmann, A.; Mühlpfordt, T.; Faulwasser, T.
2018. School of Information Science and Technology (2018), Shanghai, China, November 2, 2018
A generic distributed microservices and container based framework for metaheuristic optimization
Khalloof, H.; Jakob, W.; Liu, J.; Braun, E.; Shahoud, S.; Duepmeier, C.; Hagenmeyer, V.
2018. Proceedings of the Genetic and Evolutionary Conference Companion, Kyoto, J, July 15-19, 2018, 1363–1370, Association for Computing Machinery (ACM). doi:10.1145/3205651.3208253
Towards distributed stochastic optimal power flow
Engelmann, A.; Mühlpfordt, T.; Faulwasser, T.
2018. GMA-FAchauschuss 1.50 "Grundlagen vernetzter Systeme" (2018), Ulm, Germany, May 14, 2018
IT-security of cyber-physical systems for the future interacting energy system
Reibelt, K.; Elbez, G.; Schneider, O.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2018. 7. Jahrestagung des KIT-Zentrums Energie (2018), Karlsruhe, Germany, June 26, 2018
An integrated workflow to automatically fabricate flexible electronics by functional printing and SMT component mounting
Gengenbach, U.; Ungerer, M.; Aytac, E.; Koker, L.; Reichert, K. M.; Stiller, P.; Hagenmeyer, V.
2018. Proceedings of the 14th International Conference on Automation Science and Engineering (CASE), Paper ThCT4.4. doi:10.1109/COASE.2018.8560456
An integrated workflow to automatically fabricate flexible electronics by functional printing and SMT component mounting
Gengenbach, U.; Ungerer, M.; Aytac, E.; Koker, L.; Reichert, K. M.; Stiller, P.; Hagenmeyer, V.
2018. 14th IEEE International Conference on Automation Science and Engineering (CASE 2018), Munich, Germany, August 20–24, 2018
Distributed Non-Convex Optimization in Power Systems
Engelmann, A.; Jiang, Y.; Houska, B.; Faulwasser, T.
2018. Workshop on Optimization , Machine Learning, and Data Science, Braunschweig, April 12-13, 2018
Distributed optimal power flow - Feasibility vs. optimality
Engelmann, A.; Faulwasser, T.
2018. 2nd International Symposium on Energy System Optimization (ISESO 2018), Karlsruhe, Germany, October 10–11, 2018
Digital Detection and Correction of Errors in As-built Parts: a Step Towards Automated Quality Control of Additive Manufacturing
Elkaseer, A.; Mueller, T.; Charles, A. P.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing (WCMNM 2018 2018), Portorož, Slovenia, September 17–20, 2018
Digital Detection and Correction of Errors in As-built Parts: a Step Towards Automated Quality Control of Additive Manufacturing
Elkaseer, A.; Mueller, T.; Charles, A. P.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing. Ed.: J. Valentincic, 389–392, Research Publishing. doi:10.3850/978-981-11-2728-1_58
Interactive search and exploration of entity-entity relationships in a huge document corpus
Schmidt, A.; Scholz, S.
2018. 10th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2018), Nice, France, May 20–24, 2018
A practical approach for teaching model driven software development: A pleading for the ’from scratch Approach’
Schmidt, A.
2018. IEEE Global Engineering Education Conference (EDUCON 2018), Santa Cruz de Tenerife, Spain, April 17–20, 2018
Interactive search and exploration of entity-entity relationships in a huge document corpus
Schmidt, A.; Scholz, S.
2018. 10th International Conference on Advances in Databases, Knowledge, and Data Applications. Ed.: A. Schmidt, International Academy, Research, and Industry Association (IARIA)
DaNa2.0 – Diverse and reliable information on environmental safety of nanomaterials
Kühnel, D.; Steinbach, C.; Bohmer, N.; Krug, H. F.; Nau, K.; Marquardt, C.
2018. 9th International Conference on Nanotoxicology (NanoTox 2018), Neuss, Germany, September 18–21, 2018
DaNa2.0 - A concept based search approach in the area of nanotoxicology
Marquardt, C.; Nau, K.; Schmidt, A.
2018. 9th International Conference on Nanotoxicology (NanoTox 2018), Neuss, Germany, September 18–21, 2018
PCE.jl - Towards a Julia Package for Polynomial Chaos Expansion
Becker, F.; Mühlpfordt, T.; Zahn, F.; Faulwasser, T.
2018. JuliaCon (2018), London, United Kingdom, August 7–11, 2018
Reliable Dispatch of Renewable Generation via Charging of Time-varying PEV Populations
Appino, R. R.; Munoz-Ortiz, M.; Gonzalez Ordiano, J. A.; Mikut, R.; Hagenmeyer, V.; Faulwasser, T.
2018. IEEE transactions on power systems, 34 (2), 1558–1568. doi:10.1109/TPWRS.2018.2873409
Cross-Media Mesh Networks for Smart Home and Smart Grid Applications
Wiegel, F.; Hagenmeyer, V.; Oberschmidt, G.
2018. 2018 the 6th IEEE International Conference on Smart Energy Grid Engineering (SEGE), 205–211, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE.2018.8499305
A knowledge-based decision support system for micro and nano manufacturing process chains
Müller, T.; Hagenmeyer, V.; Schmidt, A.; Scholz, S.; Elkaseer, A.
2018. Euromicro Conference on Software Engineering and Advanced Applications 2018 (SEAA 2018), Prague, CZ, August 29-31, 2018. Ed.: T. Bures, 314–320, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEAA.2018.00058
Therapeutic Chemical Screen Identifies Phosphatase Inhibitors to Reconstitute PKB Phosphorylation and Cardiac Contractility in ILK-Deficient Zebrafish
Pott, A.; Shahid, M.; Köhler, D.; Pylatiuk, C.; Weinmann, K.; Just, S.; Rottbauer, W.
2018. Biomolecules, 8 (4), Art. Nr.: 153. doi:10.3390/biom8040153
Metrology data-based simulation of freeform optics
Sieber, I.; Yi, A. Y.; Gengenbach, U.
2018. Applied Sciences, 8 (12), Art. Nr.: 2338. doi:10.3390/app8122338
Infrared measurements and estimation of temperature in the restrictive scope of an industrial cement plant
Gabriel, R.; Keller, S.; Matthes, J.; Waibel, P.; Keller, H. B.; Hinz, S.
2018. 2018 ISPRS Technical Commission I Midterm Symposium on Innovative Sensing - From Sensors to Methods and Applications; Karlsruhe; Germany; 10 October 2018 through 12 October 2018, 53–60, Curran. doi:10.5194/isprs-annals-IV-1-53-2018
Knowledge-based decision support with self-learning methods
Scherer, K. P.; Rieder, C.; Germann, M.; Baumeister, J.; Plehn, S.
2018. ADVCOMP 2018 : 12th International Conference on Advanced Engineering Computing and Application Sciences Athinai, GR, November 18-22, 2018. Ed.: C.P. Rückemann, 16–17, International Academy, Research, and Industry Association (IARIA)
Knowledge-based decision support with self-learning methods
Scherer, K. P.; Rieder, C.; Germann, M.; Baumeister, J.; Plehn, S.
2018. 12th International Conference on Advanced Engineering Computing and Application Sciences (ADVCOMP 2018), Athens, Greece, November 18–22, 2018
Asymptotic Stability of Economic NMPC: The Importance of Adjoints
Faulwasser, T.; Zanon, M.
2018. IFAC-PapersOnLine, 51 (20), 157–168. doi:10.1016/j.ifacol.2018.11.009
Reflection on boon and bane of Water Absorbing Components in Active Implants during Operation and Package Testing
Koker, L.; Gengenbach, U.; Bretthauer, G.
2018. Biomedical engineering, 63 (S1), S218
Reflection on boon and bane of Water Absorbing Components in Active Implants during Operation and Package Testing
Koker, L.; Gengenbach, U.; Bretthauer, G.
2018. 52nd Annual Conference of the German Society for Biomedical Engineering (DGBMT within VDE) (BMT 2018), Aachen, Germany, September 26–28, 2018
Effect of low-temperature plasma treatment of electrospun polycaprolactone fibrous scaffolds on calcium carbonate mineralisation
Ivanova, A. A.; Syromotina, D. S.; Shkarina, S. N.; Shkarin, R.; Cecilia, A.; Weinhardt, V.; Baumbach, T.; Saveleva, M. S.; Gorin, D. A.; Douglas, T. E. L.; Parakhonskiy, B. V.; Skirtach, A. G.; Cools, P.; De Geyter, N.; Morent, R.; Oehr, C.; Surmeneva, M. A.; Surmenev, R. A.
2018. RSC Advances, 8 (68), 39106–39114. doi:10.1039/c8ra07386d
Analysis of cyber-physical attacks against the future energy system
Elbez, G.; Reibelt, K.; Schneider, O.; Matthes, J.; Keller, H. B.; Hagenmeyer, V.
2018. 7. Jahrestagung des KIT-Zentrums Energie (2018), Karlsruhe, Germany, June 26, 2018
Solving stochastic optimal power flow problem via polynomial chaos expansions
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. SIAM Conference on Uncertanty Quantification, Garden Grove, CA, April 16-19, 2018
Quantification of environmental influences and interferences affecting an active lens implant
Koker, L.; Stoll. Matthias; Gengenbach, U.; Bretthauer, G.
2018. Biomedical engineering, 63 (S1), S347
Quantification of environmental influences and interferences affecting an active lens implant
Koker, L.; Stoll. Matthias; Gengenbach, U.; Bretthauer, G.
2018. 52nd Annual Conference of the German Society for Biomedical Engineering (DGBMT within VDE) (BMT 2018), Aachen, Germany, September 26–28, 2018
Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2018. Annual American Control Conference (ACC 2018), Milwaukee, WI, USA, June 27–29, 2018
Storage scheduling with stochastic uncertainties: Feasibility and cost of imbalances
Appino, R. R.; Ordiano, J. A. G.; Mikut, R.; Hagenmeyer, V.; Faulwasser, T.
2018. 20th Power Systems Computation Conference (PSCC 2018), Dublin, Ireland, June 11–15, 2018
A new classification of attacks against the cyber-physical security of smart grids
Elbez, G.; Keller, H. B.; Hagenmeyer, V.
2018. ARES 2018: International Conference on Availability, Reliability and Security, August 27–30, 2018, Hamburg, Germany., Art.-Nr. 63, Association for Computing Machinery (ACM). doi:10.1145/3230833.3234689
Flow-based analysis of storage usage in a low-carbon european electricity scenario
Tranberg, B.; Schafer, M.; Brown, T.; Horsch, J.; Greiner, M.
2018. 15th International Conference on the European Energy Market, EEM 2018; Lodz; Poland; 27 June 2018 through 29 June 2018, Art. Nr.: 8469951, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EEM.2018.8469951
Best Practices in Deep Learning-Based Segmentation of Microscopy Images
Scherr, T.; Bartschat, A.; Reischl, M.; Stegmaier, J.; Mikut, R.
2018. Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018. Ed.: F. Hoffmann, 175–195, KIT Scientific Publishing. doi:10.5445/IR/1000087734
Deep learning approaches to improve cell segmentation and tracking accuracy for interactive knowledge discovery in Zebrafish embryos
Scherr, T.; Schott, B.; Traub, M.; Takamiya, M.; Bartschat, A.; Kobitski, A.; Nienhaus, G. U.; Strähle U.; Mikut, R.; Stegmaier, J.
2018. Zebrafish Models for Human Eye Diseases, Freiburg, September 14-15, 2018
Distributed and stochastic optimization in power systems
Engelmann, A.
2018. Workshop on Optimization , Machine Learning, and Data Science, Braunschweig, April 12-13, 2018
Interactive analysis of cell tracks in light sheet microscopy images using embryominer
Scherr, T.; Schott, B.; Traub, M.; Takamiya, M.; Bartschat, A.; Kobitski, A. Y.; Nienhaus, G. U.; Strähle, U.; Stegmaier, J.; Mikut, R.
2018. 10th Light Sheet Fluorescence Microscopy Conference (LSFM 2018), Dresden, Germany, August 12–15, 2018
Robustness of Deep Learning Architectures with Respect to Training Data Variation
Bartschat, A.; Unger, T.; Scherr, T.; Stegmaier, J.; Mikut, R.; Reischl, M.
2018. Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018. Ed.: F. Hoffmann, 129–138, KIT Scientific Publishing. doi:10.5445/IR/1000087724
On the creation of quantile regression based scenario and parametric probabilistic forecasts in the context of energy forecasting
González Ordiano, J. Á.; Remo Appino, R.; Faulwasser, T.; Hagenmeyer, V.; Mikut, R.
2018. International Symposium on Forecasting (ISF 2018), Boulder, CO, June 16-20, 2018. Conference Proceedings
On the creation of quantile regression based scenario and parametric probabilistic forecasts in the context of energy forecasting
González Ordiano, J. Á.; Remo Appino, R.; Faulwasser, T.; Hagenmeyer, V.; Mikut, R.
2018. International Symposium on Forecasting (ISF 2018), Boulder, CO, June 16-20, 2018
Principal flow patterns across renewable electricity networks
Hofmann, F.; Schäfer, M.; Brown, T.; Hörsch, J.; Schramm, S.; Greiner, M.
2018. epl, 124 (1), Article No.18005. doi:10.1209/0295-5075/124/18005
Ausblick und Schlussbemerkung
Weissenbach, K.; Föll, J.
2018. UIS BW, Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase II 2016/18. Hrsg.: K. Weissenbach, 105–108, KIT Scientific Publishing. doi:10.5445/IR/1000086932
Luftmessdaten. Komponenten und Dienste für die Verarbeitung und Präsentation von Messdaten am Beispiel des Webauftritts Luft
Schlachter, T.; Braun, E.; Schmitt, C.; Schillinger, W.; Lutz-Holzhauer, C.; Nadberezny, D.; Müller, H.; Grodt, D.; Koch, L.
2018. UIS BW, Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase II 2016/18. . Hrsg.: K. Weissenbach, 91–104, KIT Scientific Publishing. doi:10.5445/IR/1000086930
LUPO Landesumweltportale als modularisierte, verteilte Anwendung
Schlachter, T.; Greceanu, C.; Grieß, C.; Schmitt, C.; Schillinger, W.; Tauber, M.; Hänig, K.; Koch, L.; Niemeier, R.
2018. UIS BW, Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase II 2016/18. Hrsg.: K. Weissenbach, 51–61, KIT Scientific Publishing. doi:10.5445/IR/1000086928
Effect of process parameters on dimensional accuracy of down-facing surfaces in selective laser melting of TI6AL4V
Charles, A. P.; Elkaseer, A.; Mueller, T.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2018. Advancing Precision in Additive Manufacturing : ASPE and euspen Summer Topical Meeting (2018), Berkeley, CA, USA, June 22–25, 2018
Effect of process parameters on dimensional accuracy of down-facing surfaces in selective laser melting of TI6AL4V
Charles, A. P.; Elkaseer, A.; Mueller, T.; Thijs, L.; Hagenmeyer, V.; Scholz, S.
2018. Advancing Precision in Additive Manufacturing : 2018 ASPE and euspen Summer Topical Meeting, Berkeley, CA, Jube 22-25, 2018, ASPE
Precision additive metal manufacturing
Witvrouw, A.; Metelkova, J.; Ranjan, R.; Bayat, M.; De Baere, D.; Moshiri, M.; Tosello, G.; Solheid, J.; Charles, A. P.; Scholz, S.; Baier, M.; Carmignato, S.; Stavroulakis, P.; Shaheen, A.; Thijs, L.
2018. Advancing Precision in Additive Manufacturing : 2018 ASPE and euspen Summer Topical Meeting, Berkeley, CA, Jube 22-25, 2018, 18–23, ASPE
Precision additive metal manufacturing
Witvrouw, A.; Metelkova, J.; Ranjan, R.; Bayat, M.; De Baere, D.; Moshiri, M.; Tosello, G.; Solheid, J.; Charles, A. P.; Scholz, S.; Baier, M.; Carmignato, S.; Stavroulakis, P.; Shaheen, A.; Thijs, L.
2018. Advancing Precision in Additive Manufacturing : ASPE and euspen Summer Topical Meeting (2018), Berkeley, CA, USA, June 22–25, 2018
The price of uncertainty: Chance-constrained OPF vs. in-hindsight OPF
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 20th Power Systems Computation Conference (PSCC 2018), Dublin, Ireland, June 11–15, 2018
Adaptation strategies for tracking constraints under plant-model mismatch
Singhal, M.; Faulwasser, T.; Bonvin, D.
2018. 10th IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM 2018), Shenyang, China, July 25–27, 2018
Storage scheduling with stochastic uncertainties: Feasibility and cost of imbalances
Appino, R. R.; Ordiano, J. A. G.; Mikut, R.; Hagenmeyer, V.; Faulwasser, T.
2018. 20th Power Systems Computation Conference, PSCC 2018; University College DublinDublin; Ireland; 11 June 2018 through 15 June 2018, Art. Nr.: 8442529, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/PSCC.2018.8442529
Adaptation strategies for tracking constraints under plant-model mismatch
Singhal, M.; Faulwasser, T.; Bonvin, D.
2018. IFAC-PapersOnLine, 51 (18), 833–838. doi:10.1016/j.ifacol.2018.09.254
LUPO mobil Intelligente Umweltassistenten im Rahmen der LUPO-Kooperation für mobile Anwendungen
Koch, L.; Hänig, K.; Hibbeler, C.; Schlachter, T.; Schillinger, W.; Scherrer, M.; Becker, J.; Weissenbach, K.; Föll, J.
2018. UIS BW, Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase II 2016/18. . Hrsg.: K. Weissenbach, 41–50, KIT Scientific Publishing. doi:10.5445/IR/1000086707
A Study of the Factors Influencing Generated Surface Roughness of Downfacing Surfaces in Selective Laser Melting
Charles, A. P.; Elkaseer, A.; Müller, T.; Thijs, L.; Torge, M.; Hagenmeyer, V.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing, Portoroz, SLO, September 18-20, 2018, 327–330, Research Publishing. doi:10.3850/978-981-11-2728-1_57
A study of the factors influencing generated surface roughness of downfacing surfaces in selective laser melting
Charles, A. P.; Elkaseer, A.; Müller, T.; Thijs, L.; Torge, M.; Hagenmeyer, V.; Scholz, S.
2018. World Congress on Micro and Nano Manufacturing (WCMNM 2018 2018), Portorož, Slovenia, September 17–20, 2018
Smart modular reconfigurable fully-digital manufacturing system with a knowledge-based framework: example of a fabrication of microfluidic chips
Scholz, S.; Elkaseer, A.; Müller, T.; Gengenbach, U.; Hagenmeyer, V.
2018. Proceedings of the 14th IEEE International Conference on Automation Science and Engineering (CASE), München, August 20-24, 2018, 1012–1017, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/COASE.2018.8560405
Smart modular reconfigurable fully-digital manufacturing system with a knowledge-based framework: example of a fabrication of microfluidic chips
Scholz, S.; Elkaseer, A.; Müller, T.; Gengenbach, U.; Hagenmeyer, V.
2018. 14th IEEE International Conference on Automation Science and Engineering (CASE 2018), Munich, Germany, August 20–24, 2018
A generalized framework for chance-constrained optimal power flow
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. Sustainable energy, grids and networks, 16, 231–242. doi:10.1016/j.segan.2018.08.002
PyPSA-Eur: An open optimisation model of the European transmission system
Hörsch, J.; Hofmann, F.; Schlachtberger, D.; Brown, T.
2018. Energy strategy reviews, 22, 207–215. doi:10.1016/j.esr.2018.08.012
The impact of climate change on a cost-optimal highly renewable European electricity network
Schlott, M.; Kies, A.; Brown, T.; Schramm, S.; Greiner, M.
2018. Applied energy, 230, 1645–1659. doi:10.1016/j.apenergy.2018.09.084
Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2018. 2018 Annual American Control Conference (ACC), Milwaukee, WI, USA, 27-29 June 2018, 6188–6193, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ACC.2018.8431090
Engineering Smart Market Platforms for Market Based Congestion Management
Huber, J.; Köppl, S.; Klempp, N.; Schutz, M.; Heilmann, E.
2018. 9th ACM International Conference on Future Energy Systems (e-Energy), Karlsruhe, Germany, 12 - 15 June 2018, 544–549, Association for Computing Machinery (ACM). doi:10.1145/3208903.3214349
Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems (ACM e-Energy), Karlsruhe, June 12-15,2018
Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018
Hoffmann, F.; Hüllermeier, E.; Mikut, R. (Eds.)
2018. KIT Scientific Publishing. doi:10.5445/KSP/1000085935
Knowledge based communication in ophthalmic healthcare
Scherer, K. P.; Knöll, D.; Rieder, C.
2018. International Conference on Communication in Healthcare (ICCH), Porto, P, September 1-4, 2018
Knowledge based communication in ophthalmic healthcare
Scherer, K. P.; Knöll, D.; Rieder, C.
2018. International Conference on Communication in Healthcare (ICCH), Porto, P, September 1-4, 2018
Prüfung von openBIM Gebäudemodellen für die thermische Gebäudesimulation
Geiger, A.; Hagenmeyer, V.
2018. BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz : Tagungsband. Hrsg.: P. von Both, 578–585, Karlsruher Institut für Technologie (KIT)
Thermal Energy Simulation of Buildings based on the CityGML Energy Application Domain Extension
Geiger, A.; Benner, J.; Häfele, K.-H.; Hagenmeyer, V.
2018. BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz : Tagungsband. Hrsg.: P. von Both, 295–302, Karlsruher Institut für Technologie (KIT)
Building Information Modelling in der Konzeptionsphase der Planung
Geiger, A.; Hempel, S.; Benner, J.; Häfele, K.-H.
2018. BauSIM2018 - 7. Deutsch-Österreichische IBPSA-Konferenz : Tagungsband. Hrsg.: P. von Both, 52–59, Karlsruher Institut für Technologie (KIT)
Distinct amino acid motifs carrying multiple positive charges regulate membrane targeting of dysferlin and MG53
Zhou, L.; Middel, V.; Reischl, M.; Strähle, U.; Nienhaus, G. U.
2018. PLoS one, 13 (8), e0202052. doi:10.1371/journal.pone.0202052
Smart Grid resilience - security of supply 2.0
Ottenburger, S. S.; Cakmak, H. K.; Jakob, W.; Blattmann, A.; Deines, E.; Trybushnyi, D.; Raskob, W.; Hagenmeyer, V.
2018. 7. Jahrestagung des KIT-Zentrums Energie (2018), Karlsruhe, Germany, June 26, 2018
Droplet based micro-bioreactors for single cell encapsulation
Grösche, M.; Sheshachala, S.; Stegmaier, J.; Mikut, R.; Niemeyer, C. M.
2018. Microfluidics 2018 : New Technologies and Applications in Biology, Biochemistry and Single-Cell Analysis, EMBL Conference, Heidelberg, July 15-17, 2018
Wnt/PCP controls spreading of Wnt/β-catenin signals by cytonemes in vertebrates
Mattes, B.; Dang, Y.; Greicius, G.; Kaufmann, L. T.; Prunsche, B.; Rosenbauer, J.; Stegmaier, J.; Mikut, R.; Özbek, S.; Nienhaus, G. U.; Schug, A.; Virshup, D. M.; Scholpp, S.
2018. eLife, 7, Article No. e36953. doi:10.7554/eLife.36953
Droplet microarray: Miniaturized platform for rapid formation and high-throughput screening of embryoid bodies
Tronser, T.; Demir, K.; Reischl, M.; Bastmeyer, M.; Levkin, P. A.
2018. Lab on a chip, 18 (15), 2257–2269. doi:10.1039/c8lc00450a
Preliminary Approaches for improving the Smart Grid Cyber Security
Reibelt, K.; El Bez, G.; Schneider, O.; Matthes, J.; Keller, H. B.
2018. Ideen und Innovationen für die Energie von morgen : Wissenschaftliche Beiträge des KIT zu den Jahrestagungen 2014, 2016 und 2017 des KIT-Zentrums Energie. Hrsg.: W. Breh, 115–122, KIT Scientific Publishing. doi:10.5445/IR/1000085346
Cortical representation of auricular muscles in humans: A robot-controlled TMS mapping and fMRI study
Meincke, J.; Hewitt, M.; Reischl, M.; Rupp, R.; Schmidt-Samoa, C.; Liebetanz, D.
2018. PLoS one, 13 (7), e0201277. doi:10.1371/journal.pone.0201277
Optimal power flow: An introduction to predictive, distributed and stochastic control challenges
Faulwasser, T.; Engelmann, A.; Mühlpfordt, T.; Hagenmeyer, V.
2018. Automatisierungstechnik, 66 (7), 573–589. doi:10.1515/auto-2018-0040
Flow-based analysis of storage usage in a low-carbon European electricity scenario
Tranberg, B.; Schäfer, M.; Brown, T.; Hörsch, J.; Greiner, M.
2018
A Matlab-Based Simulation Tool For The Analysis Of Unsymmetrical Power System Transients In Large Networks
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2018. 32nd European Conference on Modelling and Simulation (ECMS 2018), Wilhelmshafen, May 22-25, 2018. Ed.: L. Nolle, 246–256, European Council for Modelling and Simulation. doi:10.7148/2018-0246
A new solution for the energy packet-based dispatching using power/signal dual modulation
De Din, E.; Hagenmeyer, V.; Monti, A.; Wehrle, K.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 361–365, Association for Computing Machinery (ACM). doi:10.1145/3208903.3208931
Numerical weather prediction data free solar power forecasting with neural networks
Sharma, V.; Cali, U.; Hagenmeyer, V.; Mikut, R.; Ordiano, J. Á. G.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 604–609, Association for Computing Machinery (ACM). doi:10.1145/3208903.3210279
SCiBER: A new public data set of municipal building consumption
Staudt, P.; Ludwig, N.; Huber, J.; Hagenmeyer, V.; Weinhardt, C.
2018. 9th ACM International Conference on Future Energy Systems (e-Energy), Karlsruhe, Germany, 12 - 15 June 2018, 618–621, Association for Computing Machinery (ACM). doi:10.1145/3208903.3210281
Demand response clustering — automatically finding optimal cluster hyper-parameter values
Waczowicz, S.; Ludwig, N.; Ordiano, J. Á. G.; Mikut, R.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 429–430, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212049
Assessment of unsupervised standard pattern recognition methods for industrial energy time series
Ludwig, N.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 434–435, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212051
Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling
Murray, A.; Faulwasser, T.; Hagenmeyer, V.
2018. 9th ACM International Conference on Future Energy Systems, e-Energy 2018; Karlsruhe; Germany; 12 June 2018 through 15 June 2018, 453–455, Association for Computing Machinery (ACM). doi:10.1145/3208903.3212058
A Matlab-Based Simulation Tool For The Analysis Of Unsymmetrical Power System Transients In Large Networks
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2018. 32nd European Conference on Modelling and Simulation (ECMS 2018), Wilhelmshaven, Germany, May 22–25, 2018
Design and Development of Imaging Platforms for Phenotypic Characterization of Early Zebrafish. PhD dissertation
Marcato, D.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000085054
Third-generation in situ hybridization chain reaction: Multiplexed, quantitative, sensitive, versatile, robust
Choi, H. M. T.; Schwarzkopf, M.; Fornace, M. E.; Acharya, A.; Artavanis, G.; Stegmaier, J.; Cunha, A.; Pierce, N. A.
2018. Development <Cambridge>, 145 (12), Art. Nr.: dev165753. doi:10.1242/dev.165753
Innovative Downhole Tools for Cause Study and Main tenance in Deep Geothermal Energy
Holbein, B.; Dietze, S.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Ideen und Innovationen für die Energie von morgen : Wissenschaftliche Beiträge des KIT zu den Jahrestagungen 2014, 2016 und 2017 des KIT-Zentrums Energie. Ed.: W. Breh, 27–36, KIT Scientific Publishing. doi:10.5445/IR/1000084910
Das ungenutzte Potential der Geothermie als Grundlastversorger
Holbein, B.; Isele, J.; Spatafora, L.
2018. Ideen und Innovationen für die Energie von morgen : Wissenschaftliche Beiträge des KIT zu den Jahrestagungen 2014, 2016 und 2017 des KIT-Zentrums Energie. Hrsg.: W. Breh, 1–8, KIT Scientific Publishing. doi:10.5445/IR/1000084895
Characterisation of high-temperature jet break-up for ceramic sphere production
Leys, O.; Waibel, P.; Matthes, J.; Keller, H.; Knitter, R.
2018. The international journal of advanced manufacturing technology, 98 (9–12), 2311–2318. doi:10.1007/s00170-018-2378-y
Slit lamp microscopy on a cellular level using in vivo confocal laser scanning microscopy
Bohn, S.; Sperlich, K.; Kala Praksam, R.; Allgeier, S.; Reichert, K.-M.; Bartschat, A.; Stolz, H.; Guthoff, R. F.; Köhler, B.; Mikut, R.; Stachs, O.
2018. Investigative ophthalmology & visual science, 59 (9), 3439
A strain sensor based monitoring and damage detection system for a two-span beam bridge
Waibel, P.; Schneider, O.; Keller, H. B.; Müller, J.; Schneider, O.; Keller, S.
2018. Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges: Proceedings of the 9th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2018), Melbourne, AUS, July 9-13, 2018. Ed.: N. Powers, 1627–1634, CRC Press
Replication of Overmolded Orthopedic Implants with a Functionalized Thin Layer of Biodegradable Polymer
Elkaseer, A.; Mueller, T.; Azcarate, S.; Philipp-Pichler, M.; Wilfinger, T.; Wittner, W.; Prantl, M.; Sampaio, D.; Hagenmeyer, V.; Scholz, S.
2018. Polymers, 10 (7), Article: 707. doi:10.3390/polym10070707
MPC-DICE: An open-source Matlab implementation of receding horizon solutions to DICE
Faulwasser, T.; Kellett, C. M.; Weller, S. R.
2018. IFAC-PapersOnLine, 51 (5), 120–125. doi:10.1016/j.ifacol.2018.06.221
Towards a FAIR-DICE IAM: Combining DICE and FAIR Models
Faulwasser, T.; Nydestedt, R.; Kellett, C. M.; Weller, S. R.
2018. IFAC-PapersOnLine, 51 (5), 126–131. doi:10.1016/j.ifacol.2018.06.222
Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection
Stegmaier, J.; Spina, T. V.; Falcao, A. X.; Bartschat, A.; Mikut, R.; Meyerowitz, E.; Cunha, A.
2018. 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018; Washington; United States; 4 April 2018 through 7 April 2018, 382–386, IEEE Computer Society. doi:10.1109/ISBI.2018.8363598
SEGMENT3D: A web-based application for collaborative segmentation of 3D images used in the shoot apical meristem
Spina, T. V.; Stegmaier, J.; Falcao, A. X.; Meyerowitz, E.; Cunha, A.
2018. 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018; Washington; United States; 4 April 2018 through 7 April 2018, 391–395, IEEE Computer Society. doi:10.1109/ISBI.2018.8363600
A practical approach for teaching model driven software development: A pleading for the ’from scratch Approach’
Schmidt, A.
2018. 2018 IEEE Global Engineering Education Conference - Emerging Trends and Challenges of Engineering Education, EDUCON 2018, 2031–2036, IEEE Computer Society. doi:10.1109/EDUCON.2018.8363486
3D biodegradable scaffolds of polycaprolactone with silicate-containing hydroxyapatite microparticles for bone tissue engineering: high-resolution tomography and in vitro study
Shkarina, S.; Shkarin, R.; Weinhardt, V.; Melnik, E.; Vacun, G.; Kluger, P.; Loza, K.; Epple, M.; Ivlev, S. I.; Baumbach, T.; Surmeneva, M. A.; Surmenev, R. A.
2018. Scientific reports, 8 (1), Article: 8907. doi:10.1038/s41598-018-27097-7
3D-Printed Ultra-Broadband Highly Efficient Out-of-Plane Coupler for Photonic Integrated Circuits
Blaicher, M.; Billah, M. R.; Hoose, T.; Dietrich, P.-I.; Hofmann, A.; Randel, S.; Freude, W.; Koos, C.
2018. Conference on Lasers and Electro-Optics (CLEO) : Science and Innovations 2018, San Jose, California United States, 13–18 May 2018, Optica Publishing Group (OSA). doi:10.1364/CLEO_SI.2018.STh1A.1
Wide-field corneal subbasal nerve plexus mosaics in age-controlled healthy and type 2 diabetes populations
Lagali, N. S.; Allgeier, S.; Guimarães, P.; Badian, R. A.; Ruggeri, A.; Köhler, B.; Utheim, T. P.; Peebo, B.; Peterson, M.; Dahlin, L. B.; Rolandsson, O.
2018. Scientific data, 5, Art.Nr. 180075. doi:10.1038/sdata.2018.75
Zur Aggregation von Verteilnetzen für dynamische Übertragungsnetzsimulationen
Porada, S.; Bredtmann, C.; Moser, A.; Gröll, L.; Hagenmeyer, V.
2018. 15. Symposium Energieinnovation (EnInnov 2018), Graz, Austria, February 14–16, 2018
Multimodal Hierarchical Imaging of Serial Sections for Finding Specific Cellular Targets within Large Volumes
Wacker, I. U.; Veith, L.; Spomer, W.; Hofmann, A.; Thaler, M.; Hillmer, S.; Gengenbach, U.; Schröder, R. R.
2018. Journal of visualized experiments, 2018 (133), Art.Nr. e57059. doi:10.3791/57059
Camera-based Online Flame-Stability-Monitor for Load-Flexible Biomass Co-Combustion
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2018. Proceedings of the 3rd World Congress on Momentum, Heat and Mass Transfer (MHMT´18), Budapest, H, April 12-14, 2018, Paper CSP 106, Avestia Publishing. doi:10.11159/csp18.106
Camera-based Online Flame-Stability-Monitor for Load-Flexible Biomass Co-Combustion
Matthes, J.; Waibel, P.; Vogelbacher, M.; Gehrmann, H.-J.; Keller, H. B.
2018. 3rd World Congress on Momentum, Heat and Mass Transfer (MHMT 2018), Budapest, Hungary, April 12–14, 2018
EmbryoMiner : A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos
Schott, B.; Traub, M.; Schlagenhauf, C.; Takamiya, M.; Antritter, T.; Bartschat, A.; Löffler, K.; Blessing, D.; Otte, J. C.; Kobitski, A. Y.; Nienhaus, G. U.; Strähle, U.; Mikut, R.; Stegmaier, J.
2018. PLoS Computational Biology, 14 (4), e1006128. doi:10.1371/journal.pcbi.1006128
How much demand side flexibility do we need? - Analyzing where to exploit flexibility in industrial processes
Barth, L.; Hagenmeyer, V.; Ludwig, N.; Wagner, D.
2018. 9th ACM International Conference on Future Energy Systems (ACM e-Energy), 12th - 15th June 2018, Karlsruhe, Germany, 43–62, Association for Computing Machinery (ACM). doi:10.1145/3208903.3208909
Zebrafish: A Pharmacogenetic Model for Anesthesia
Bedell, V.; Buglo, E.; Marcato, D.; Pylatiuk, C.; Mikut, R.; Stegmaier, J.; Scudder, W.; Wray, M.; Züchner, S.; Strähle, U.; Peravali, R.; Dallman, J. E.
2018. Methods in enzymology, 602, 189–209. doi:10.1016/bs.mie.2018.02.004
Optimal Power Flow Subject to Non-Gaussian Stochastic Uncertainties: An L²-based Approach
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. 89. Jahrestagung der Gesellschaft für angewandte Mathematik und Mechanik (GAMM 2018), Munich, Germany, March 19–23, 2018
Approaches to a Practical Implementation of Industry 4.0
Elkaseer, A.; Salama, M.; Hazem, A.; Scholz, S.
2018. ACHI 2018 : 11th International Conference on Advances in Computer-Human Interactions, Roma, I, March 25-29, 2018
Approaches to a Practical Implementation of Industry 4.0
Elkaseer, A.; Salama, M.; Hazem, A.; Scholz, S.
2018. ACHI 2018 : 11th International Conference on Advances in Computer-Human Interactions, Roma, I, March 25-29, 2018. Ed.: B. Gersbeck-Schierholz, 141–146, International Academy, Research, and Industry Association (IARIA)
Kontextsensitive Vorschläge für eine semantische Suchmaschine
Schmidt, A.
2018. Forschung aktuell, 2018, 64–66
Data Science using the Shell
Schmidt, A.; Scholz, S.
2018. 20th International Conference on Enterprise Information Systems (ICEIS 2018), Funchal, Portugal, March 21–24, 2018
Generation of Knowledge with Self-Learning Methods for Ophthalmic Data
Scherer, K.-P.; Knöll, D.; Rieder, C.
2018. 20th International Conference on Computer and Information Engineering (ICCIE 2018), Praha, CZ, March 22-23, 2018. Proceedings, 1977
Generation of Knowledge with Self-Learning Methods for Ophthalmic Data
Scherer, K.-P.; Knöll, D.; Rieder, C.
2018. 20th International Conference on Computer and Information Engineering (ICCIE 2018), Prague, Czechia, March 22–23, 2018
Enhanced Droplet Control for the Fabrication of Ceramic Breeder Pebbles
Leys, O.; Haas, M.; Waibel, P.; Matthes, J.; Knitter, R.
2018. 30th International Symposium on Fusion Technology (SOFT 2018), Giardini-Naxos, Italy, September 16–21, 2018
Maschinelles Lernen für das Energiesystem: Gegenwart und Zukunft
Mikut, R.
2018. Tagungsband Workshop 2018 ASIM/GI-Fachgruppen, Hochschule Heilbronn, 8.-9.März 2018. Hrsg.: T. Loose, 137–142, ARGESIM Verlag
Data-driven Design of an Inkjet-Printed Electronic Circuit
Koker, L.; Ungerer, M.; Mikolajek, M.; Neuper, F.; Kühner, T.; Gengenbach, U.
2018. Internationale Fachmesse und Kongress für gedruckte Elektronik (LOPEC 2018), München, 13.-15.März 2018
Hydrogen and Fuel Cells – Technical Safety for general use
Keller, H. B.; Pilz, W. D.; Schulz-Forberg, B.; Langenbac, C.
2018. European Hydrogen Energy Conference, Malaga, E, March 14-16, 2018
Recent Progress on Distributed and Stochastic Optimization for Power Systems
Faulwasser, T.
2018. Institut für Regelungstechnik, Fakultät für Elektrotechnik, Universität Kiel, 12.Februar 2018
Stochastic and Distributed Optimization for Power Systems
Faulwasser, T.
2018. Department of Electrical Engineering, Imperial College London, GB, 7.März 2017
IT-Sicherheit für die vernetzten cyber-physikalischen Komponenten zukünftiger Energiesysteme
Reibelt, K.; El Bez, G.; Schneider, O.; Matthes, J.; Keller, H. B.
2018. 82. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen, Fachverband Quantenoptik und Photonik (SAMOP 2018), Erlangen, Germany, March 4–9, 2018
Hybrid integration of silicon photonics circuits and InP lasers by photonic wire bonding
Billah, M. R.; Blaicher, M.; Hoose, T.; Dietrich, P.-I.; Marin-Palomo, P.; Lindenmann, N.; Nesic, A.; Hofmann, A.; Troppenz, U.; Moehrle, M.; Randel, S.; Freude, W.; Koos, C.
2018
Optimaler Lastfluss unter nicht-Gauss´schen Unsicherheiten – ein L2 Problem
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2018. 12. Elgersburg Workshop (2018), Ilmenau, Germany, February 26–March 1, 2018
Concept and benchmark results for Big Data energy forecasting based on Apache Spark
González Ordiano, J. Á.; Bartschat, A.; Ludwig, N.; Braun, E.; Waczowicz, S.; Renkamp, N.; Peter, N.; Düpmeier, C.; Mikut, R.; Hagenmeyer, V.
2018. Journal of Big Data, 5 (1), Art.Nr. 11. doi:10.1186/s40537-018-0119-6
Konzept zur datengetriebenen Analyse und Modellierung des preisbeeinflussten Verbrauchsverhaltens. PhD dissertation
Waczowicz, S.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000081003
An extendable and scalable simulation tool for the analysis of power system dynamics in large and complex networks
Kyesswa, M.; Cacmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Germany, January 28–31, 2018
Considering Forecasting Uncertainties in Scheduling of Energy Systems
Appino, R.; Ordanio, J.; Mikut, R.; Hagenmeyer, V.; Faulwaser, T.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Germany, January 28–31, 2018
Electric discharge machining of titanium and its alloys : review
Abu Qudeiri, J. E.; Mourad, A.-H. I.; Ziout, A.; Abidi, M. H.; Elkaseer, A.
2018. The international journal of advanced manufacturing technology, 96 (1-4), 1319–1339. doi:10.1007/s00170-018-1574-0
Distributed Non-Convex Optimization in Power Systems
Faulwasser, T.; Mühlpfordt, T.; Engelmann, A.; Jiang, Y.; Houska, B.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Germany, January 28–31, 2018
Reaching constant evaluation singularities
Schneider, O.
2018. FOSDEM 2018, Bruxelles, B, February 3-4, 2018
Optimal Power Flow with non-Gaussian Uncertainties
Mühlpfordt, T.; Hagenmeyer, V.; Faulwasser, T.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Germany, January 28–31, 2018
Sachstand und Beispiele nachhaltiger Digitalisierung im Umweltbereich
Schlachter, T.
2018. Charta-Workshop ’Digitalisierung und Nachhaltigkeit’, Stuttgart, 30.Januar 2018
Rotor angle versus voltage instability in the third-order model
Faulwasser, T.; Sharafutdinov, K.; Matthiae, M.; Witthaut, D.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Germany, January 28–31, 2018
Rigorous Bounds For Stability And Instability In The Third- and Fourth-Order Model
Faulwasser, T.; Jorjäo, R.; Sharafutdinov, K.; Matthiae, M.; Witthaut, D.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Germany, January 28–31, 2018
Mixed-Integer vs. Real-Valved Formulations of Distributed Scheduling of Energy Systems
Murray, A.; Hagenmeyer, V.; Faulwasser, T.
2018. 661. Wilhelm und Else Heraeus Seminar (2018), Bad Honnef, Germany, January 28–31, 2018
Robust label-free biosensing using microdisk laser arrays with on-chip references
Wondimu, S. F.; Hippler, M.; Hussal, C.; Hofmann, A.; Krämmer, S.; Lahann, J.; Kalt, H.; Freude, W.; Koos, C.
2018. Optics express, 26 (3), 3161–3173. doi:10.1364/OE.26.003161
Quantitative Considerations about the Semantic Relationship of Entities in a Document Corpus
Schmidt, A.; Scholz, S.
2018. Proceedings of the 51st Hawaii International Conference on System Sciences, Hilton Waikoloa Village, Hawaii, January 2-6, 2018, 933–942
Mobile Sensor System AGaMon for Breath Control: Numerical Signal Analysis of Ternary Gas Mixtures and First Field Tests
Seifert, R.; Conrad, T.; Peter, J.; Keller, H. B.
2018. Sensors & transducers, 219 (1), 9–16
Economic Nonlinear Model Predictive Control
Faulwasser, T.; Grüne, L.; Müller, M. A.
2018. Foundations and trends in systems and control, 5 (1), 224–409. doi:10.1561/2600000014
Abrasive jet drilling of glass sheets: Effect and optimisation of process parameters on kerf taper
Nassef, A.; Elkaseer, A.; Abdelnasser, E. S.; Negm, M.; Qudeiri, J. A.
2018. Advances in mechanical engineering, 10 (1), 1–10. doi:10.1177/1687814017748435
Quality management and improvement for geothermal energy projects using the platform-based tool development technology − ZWERG
Holbein, B.; Dietze, S.; Hurst, F.; Isele, J.; Spatafora, L.; Wiegel, F.; Hagenmeyer, V.
2018. Geothermics, 71, 320–330. doi:10.1016/j.geothermics.2017.10.010
Fully Automated Pipetting Sorting System for Different Morphological Phenotypes of Zebrafish Embryos
Breitwieser, H.; Dickmeis, T.; Vogt, M.; Ferg, M.; Pylatiuk, C.
2018. SLAS TECHNOLOGY: Translating Life Sciences Innovation, 23 (2), 128–133. doi:10.1177/2472630317745780
Nanopartikel: alles ganz unbedenklich?
Nau, K.; Steinbach, C.; Krug, H.; Kühnel, D.; Bohmer, N.
2018. Die Furche, (04.01.2018)
The corneal subbasal nerve plexus and thickness of the retinal layers in pediatric type 1 diabetes and matched controls
Götze, A.; Keyserlingk, S. von; Peschel, S.; Jacoby, U.; Schreiver, C.; Köhler, B.; Allgeier, S.; Winter, K.; Röhlig, M.; Jünemann, A.; Guthoff, R.; Stachs, O.; Fischer, D.-C.
2018. Scientific reports, 8 (1), Art.Nr. 14. doi:10.1038/s41598-017-18284-z
Comments on Truncation Errors for Polynomial Chaos Expansions
Mühlpfordt, T.; Findeisen, R.; Hagenmeyer, V.; Faulwasser, T.
2018. IEEE Control Systems Letters, 2 (1), 169–174. doi:10.1109/LCSYS.2017.2778138
Identification and control of the waelz process using infrared image processing
Matthes, J.; Waibel, P.; Keller, H. B.; Gröll, L.
2018. Informatics in Control, Automation and Robotics : 13th International Conference, ICINCO 2016 Lisbon, Portugal, 29th - 31st July 2016. Ed.: K. Madani, 323–341, Springer. doi:10.1007/978-3-319-55011-4_16
2017
Reduced Corneal Nerve Fiber Density in Type 2 Diabetes by Wide-Area Mosaic Analysis
Lagali, N. S.; Allgeier, S.; Guimarães, P.; Badian, R. A.; Ruggeri, A.; Köhler, B.; Utheim, T. P.; Peebo, B.; Peterson, M.; Dahlin, L. B.; Rolandsson, O.
2017. Investigative ophthalmology & visual science, 58 (14), Art.Nr. 6318. doi:10.1167/iovs.17-22257
Jahresrückblick 2017
Bretthauer, G.
2017. Automatisierungstechnik, 65 (12), 805–807. doi:10.1515/auto-2017-0118
Prof. Dr. Franz Mesch: Glückwunsch zum 85sten Geburtstag
Beyerer, J.; Bretthauer, G.
2017. Automatisierungstechnik, 65 (12), 888–889. doi:10.1515/auto-2017-0114
Energy forecasting tools and services
González Ordiano, J. Á.; Waczowicz, S.; Hagenmeyer, V.; Mikut, R.
2017. Wiley interdisciplinary reviews / Data mining and knowledge discovery, 8 (2), Art.Nr. e1235. doi:10.1002/widm.1235
NMPC with economic objectives on target manifolds
Duijkeren, N. van; Faulwasser, T.; Pipeleers, G.
2017. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 12–15 December 2017, 2519–2524, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2017.8264023
Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Roald, L.; Hagenmeyer, V.
2017. 2017 IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, Australia, 12–15 December 2017, 4490–4496, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2017.8264321
An objective comparison of cell-tracking algorithms
Ulman, V.; Maška, M.; Magnusson, K. E. G.; Ronneberger, O.; Haubold, C.; Harder, N.; Matula, P.; Matula, P.; Svoboda, D.; Radojevic, M.; Smal, I.; Rohr, K.; Jaldén, J.; Blau, H. M.; Dzyubachyk, O.; Lelieveldt, B.; Xiao, P.; Li, Y.; Cho, S.-Y.; Dufour, A. C.; Olivo-Marin, J.-C.; Reyes-Aldasoro, C. C.; Solis-Lemus, J. A.; Bensch, R.; Brox, T.; Stegmaier, J.; Mikut, R.; Wolf, S.; Hamprecht, F. A.; Esteves, T.; Quelhas, P.; Demirel, Ö.; Malmström, L.; Jug, F.; Tomancak, P.; Meijering, E.; Muñoz-Barrutia, A.; Kozubek, M.; Ortiz-de-Solorzano, C.
2017. Nature methods, 14 (12), 1141–1152. doi:10.1038/nmeth.4473
A Matlab-Based Dynamic Simulation Module for Power System Transients Analysis in the eASiMOV Framework
Kyesswa, M.; Cakmak, H.; Kuhnapfel, U.; Hagenmeyer, V.
2017. A Matlab-Based Dynamic Simulation Module for Power System Transients Analysis in the eASiMOV Framework. 2017 UKSim-AMSS 11th European Modelling Symposium (EMS), Manchester, 20–21 November 2017, 157–162, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EMS.2017.36
Hybrid photonic multi-chip integration enabled by 3D nano-printing
Koos, C.; Freude, W.; Randel, S.; Billah, M.; Blaicher, M.; Hoose, T.; Dietrich, P. I.; Nesic, A.; Hofmann, A.
2017. 2017 IEEE Photonics Conference (IPC) Part II, Orlando, FL, October 1-5 October, 2017, 1–2, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PC2.2017.8283411
Graph-theoretic Model for Observability in Multi-carrier Energy Distribution Networks (MEDNs)
Hohmann, S.; Maaß, H.; Mieth, C.; Pfeifer, M.; Wagner, D.; Wegner, F.
2017, September 11. 3rd Scientific Storage and Cross-linked Infrastructures - Meeting (SCI 2017), Karlsruhe, Germany, September 11–12, 2017
Detection and graphical visualization of relationships between entities in Wikipedia
Schmidt, A.
2017. 2017 Internet Technologies and Applications (ITA), Wrexham, 12–15 September 2017, 24–28, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITECHA.2017.8101905
Mosaicking the subbasal nerve plexus
Allgeier, S.; Reichert, K. M.; Stachs, O.; Köhler, B.
2017. Acta ophthalmologica, 95 (Suppl.), S259. doi:10.1111/j.1755-3768.2017.03122
Generator Model Extension for Higher Accuracy Simulation of Power System Transients in OpenModelica
Kyesswa, M.; Cakmak, H. K.; Kuhnapfel, U.; Hagenmeyer, V.
2017. 2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI), Corfu, 24–27 August 2017, 44–50, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MCSI.2017.17
ZebrafishMiner: an open source software for interactive evaluation of domain-specific fluorescence in zebrafish
Reischl, M.; Bartschat, A.; Liebel, U.; Gehrig, J.; Müller, F.; Mikut, R.
2017. Current directions in biomedical engineering, 3 (2), 199–202. doi:10.1515/cdbme-2017-0042
Data-driven analysis of interactions between people with dementia and a tablet device
Doneit, W.; Lohse, J.; Glesing, K.; Simon, C.; Fischer, M.; Depner, A.; Kruse, A.; Franz, I.; Schultz, T.; Putze, F.; Schulze, T.; Engels, M. A.; Gaerte, P.; Bothe, D.; Ziegler, C.; Maucher, I.; Ricken, M.; Dimitrov, T.; Herzig, J.; Bernardin, K.; Gehrig, T.; Mikut, R.
2017. Current directions in biomedical engineering, 3 (2), 735–738. doi:10.1515/cdbme-2017-0155
Overview of frequency diverse array in radar ECCM applications
Abdalla, A.; Abdalla, H.; Ramadan, M.; Mohamed, S.; Bin, T.
2017. 2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE), Khartoum, Sudan, 16-18 January 2017, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCCCEE.2017.7867610
Integrating the Functional Encryption and Proxy Re-cryptography to Secure DRM Scheme
Hisham, A.; Wahaballa, A.; Abdalla, A.; Ramadan, M.; Zhiguang, Q.; Xiong, H.
2017. International journal of network security, 19 (1), 27–38. doi:10.6633/IJNS.201701.19(1).04)
Bivariate domination polynomial
Preen, J.; Murray, A.
2017
A generic web cache infrastructure for the provision of multifarious environmental data
Schlachter, T.; Braun, E.; Düpmeier, C.; Schmitt, C.; Schillinger, W.
2017. Environmental Software Systems - Computer Science for Environmental Protection, Proceedings of the 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, 10th - 12th May 2017. Ed.: J. Hřebíček, 360–371, Springer. doi:10.1007/978-3-319-89935-0_30
3D Volume Visualization of Environmental Data in the Web
Braun, E.; Düpmeier, C.; Mirbach, S.; Lang, U.
2017. Environmental Software Systems - Computer Science for Environmental Protection, Proceedings of the 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, 10th - 12th May 2017. Ed.: J. Hřebíček, 457–469, Springer. doi:10.1007/978-3-319-89935-0_38
A Generic Microservice Architecture for Environmental Data Management
Braun, E.; Schlachter, T.; Düpmeier, C.; Stucky, K.-U.; Suess, W.
2017. Environmental Software Systems : Computer Science for Environmental Protection, Proceedings of the 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, 10th - 12th May 2017. Ed.: J. Hřebíček, 383–394, Springer. doi:10.1007/978-3-319-89935-0_32
Neues Konzept zur automatisierten Handhabung von Ultramikrotomschnitten. PhD dissertation
Spomer, W.
2017. Karlsruher Institut für Technologie (KIT)
Concept Based Search in the Field of Nanotoxicology
Marquardt, C.; Schmidt, A.; Nau. K.
2017. Nanosafety 2017, Saarbrücken, October 11-13, 2017
DaNa2.0 – Knowledge Base Nanomaterials: Quality-approved and reliable information on synthetically engineered nanomaterials
Marquardt, C.; Nau, K.; Krug, H. F.; Bohmer, N.; Kuehnel, D.; Reithel, S.; Paul, F.; Steinbach, C.
2017. Columbia-U.S. Workshop on Nanoechnology in Characterization, Metrology, Manufacturing and Safety, Bogota, CO, February 14-15, 2017
Agent-based model for distributed optimization of microgrids operation
Appino, R. R.; Listmann, K. D.; Chicco, G.
2017. ISGT Europe 2017 - Enabling the Transition to a More Electric World : IEEE International Conference on Innovative Smart Grid Technologies, Torino, I, September 26-29, 2017, Institute of Electrical and Electronics Engineers (IEEE)
Sicherheit softwarebasierter Anwendungen. Status und Perspektive Dezember 2017
Keller, H., B.
2017. 4. Berliner Gesamtkonferenz der Sicherheitsinstitutionen, Berlin, 1.Dezember 2017
Software und Sicherheit. Safety - Security und IT-Security
Keller, H. B.
2017. Sicherheit in einer digital vernetzen Welt : HerbstForum des Clusters Industrie 4.0, Berlin, 26.Oktober 2017
Towards Distributed Mixed-Integer Optimization
Murray, A.
2017. ShanghaiTech University, China, November 28, 2017
A Method for the Analysis of the Nano- and Micromorphology of Printed Structures on Flexible Polymer Films
Ungerer, M.; Spomer, W.; Wacker, I.; Schröder, R.; Gengenbach, U.
2017. International journal on advances in intelligent systems, 10 (3-4), 383–392
A new framework for interactive knowledge discovery in large-scale trajectory data of zebrafish embryos
Schott, B.; Traub, M.; Antritter, T.; Schlagenhauf, C.; Takamiya, M.; Barschat, A.; Otte, J. C.; Kobitski, A.; Nienhaus, G. U.; Sanders, P.; Strähle, U.; Mikut, R.; Stegmaier, J.
2017. 10th European Zebrafish Meeting, Budapest, H, July 3-7, 2017
Interactive knowledge discovery in large-scale trajectory data of zebrafish embryos
Schott, B.; Traub, M.; Antritter, T.; Schlagenhauf, C.; Takamiya, M.; Barschat, A.; Otte, J. C.; Kobitski, A.; Nienhaus, G. U.; Sanders, P.; Strähle, U.; Mikut, R.; Stegmaier, J.
2017. Seeing is Believing - Imaging the Processes of Life, EMBO/EMBL Symposium, Heidelberg, October 4-7, 2017
NMPC with economic objectives on target manifolds
Duijkeren, N. van; Faulwasser, T.; Pipeleers, G.; Swevers, J.
2017. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017
Analysis of Process Parameters in the Production of Orthopedic Implants Combining Metal Injection Moulding and Polymer over Moulding
Scholz, S.; Sampaio, D.; Müller, T.; Philip-Picher, M.; Wilfinger, T.; Wittner, W.; Prantl, M.
2017. WCMNM 2017: 2017 World Congress on Micro and Nano Manufacturing - A Joint Conference of ICOMM/4M/IFMM, Kaohsiung, Taiwan, March 27-30, 2017
The KALOS Process: Increased Yield and Droplet Size Control with an Induced Jet Break-Up
Leys, O.; Waibel, P.; Knitter, R.
2017. 19th International Workshop on Ceramic Breeder Blanket Interactions (CBBI-19), Kyoto, J, September 21-23, 2017
The rumen microbiome : an underexplored resource for novel antimicrobial discovery
Oyama, L. B.; Girdwood, S. E.; Cookson, A. R.; Fernandez-Fuentes, N.; Privé, F.; Vallin, H. E.; Wilkinson, T. J.; Golyshin, P. N.; Golyshina, O. V.; Mikut, R.; Hilpert, K.; Richards, J.; Wootton, M.; Edwards, J. E.; Maresca, M.; Perrier, J.; Lundy, F. T.; Luo, Y.; Zhou, M.; Hess, M.; Mantovani, H. C.; Creevey, C. J.; Huws, S. A.
2017. npj Biofilms and Microbiomes, 3 (1), Art.Nr. 33. doi:10.1038/s41522-017-0042-1
Distributed and Stochastic Optimization for Power Systems
Faulwasser, T.
2017. Faculty of Electrical Engineering, Melbourne University, AUS, December 1, 2017
Stochastic Discount Rates in Optimal Control a Case Study in Climate-Economy Assessment
Faulwasser, T.
2017. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017
Simulations- und Regelungsmodell eines Fallfilmverdampfers
Gröll, L.; Schwär, C.
2017. Workshop des GMA-Fachausschusses 1.30 ’Modellbildung, Identifikation und Simulation in der Automatisierungstechnik’, Salzburg, A, 20.-22.September 2017
Modelling and control of a falling film evaporator as a mea nto enhance process efficiency
Gröll, L.
2017. Workshop, Universität Sankt Petersburg, Russia, 28.-30.Juni 2017
From Schemantic Design Phase to Design Development Phase with openBIM
Geiger, A.; Häfele, K. H.
2017. BIM World, München, November 28-29, 2017
Proceedings of the Ninth International Conference on Advances in Databases, Knowledge, and Data Application
Schmidt, A.; Laux, F.; Hristovski, D.; Ohnishi, S.- ichi (Eds.)
2017. International Academy, Research, and Industry Association (IARIA)
Intelligente Sensorsysteme der Zukunft
Seifert, R.; Keller, H.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017
Ergebnisse des Projekts AGaMon
Seifert, R.; Keller, H.; Conrad, T.; Peter, J.
2017. VDI/VDE Fachtagung Multigassensorik, Karlsruhe, 22.-23.November 2017
Das Projekt AgaMon: Ergebnisse 3-Stoff-Gemisch und Feldversuch
Seifert, R.; Keller, H.; Conrad, T.; Peter, J.
2017. VDI/VDE Fachtagung Multigassensorik, Karlsruhe, 22.-23.November 2017
Lastprognosen (für Fernwärmenetze)
Mikut, R.; Hagenmeyer, V.; Rink, M.
2017. Workshop FPS, Karlsruhe, 26.Oktober 2017
Data Analytics: Methoden, Erwartungen und die Realität
Mikut, R.
2017. EnSoC Netzwerkseminar ’Data-Analytics – Lösungen für die Energiewirtschaft’, Karlsruhe, 19. Oktober 2017
NIR-Sensorik zur Qualitätsbestimmung neuer Zemente
Matthes, J.; Lutz, C.; Keller, H. B.; Waibel, P.; Stemmermann, P.; Precht, U.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017
Atemluftüberwachung mit AGaMon und innovativen Kalibrier- und Auswerteverfahren
Seifert, R.; Conrad, T.; Peter, J.; Keller, H.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017. Tagungsbericht. Hrsg.: H. Keller, 66–67
Atemluftüberwachung mit AGaMon und innovativen Kalibrier- und Auswerteverfahren
Seifert, R.; Conrad, T.; Peter, J.; Keller, H.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017
Inelligente Sensorsysteme der Zukunft. Der Verein HybridSensorNet e.V
Keller, H. B.; Seifert, R.
2017. 4.HSN-Fachsymposium ’Neue Technologien, intelligente Sensorik/Analytik, vernetzte Sensorsysteme und neue Anwendungsfelder’, Karlsruhe, 22.November 2017
A new concept of a generic co-simulation platform for energy systems modeling
Liu, J.; Düpmeier, C.; Hagenmeyer, V.
2017. Future Technologies Conference (FTC), Vancouver, CDN, November 29-30, 2017
A generic microservice architecture for environmental data management
Braun, E.; Schlachter, T.; Düpmeier, C.; Stucky, K.-U.; Suess, W.
2017. International Symposium on Environmental Software Systems (ISESS 2017), Zadar, HR, May 10-12, 2017
3D volume visualization of environmental data in the web
Braun, E.; Düpmeier, C.; Mirbach, S.; Lang, U.
2017. International Symposium on Environmental Software Systems (ISESS 2017), Zadar, HR, May 10-12, 2017
Breath control in respiratory air and simultaneous analysis of sensor data
Seifert, R.; Conrad, T.; Peter, J.; Keller, H.
2017. 12th Asian Conference on Chemical Sensors (ACCS 2017), Hanoi, VN, November 12-15, 2017
A generic web cache infrastructure for the provision of multifarious environmental data
Schlachter, T.; Braun, E.; Düpmeier, C.; Schmitt, C.; Schillinger, W.
2017. International Symposium on Environmental Software Systems (ISESS 2017), Zadar, HR, May 10-12, 2017
Comments on Truncation Errors for Polynomial Chaos Expansions
Mühlpfordt, T.; Findeisen, R.; Hagenmeyer, V.; Faulwasser, T.
2017, January. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017
A Matlab-based dynamic simulation module for power system transients analysis in the eAsiMOV framework
Kyesswa, M.; Cakmak, H.; Kühnapfel, U.; Hagenmeyer, V.
2017. 11th European Modelling Symposum on Mathematical Modelling and Computer Simulation (EMS 2017), Manchester, GB, November 20-22, 2017
Quantification of inflammatory cells in the corneal sub-basal layer in type 2 diabetes by in vivo confocal microscopy (IVCM)
Badian, R. A.; Utheim, T.; Allgeier, S.; Liu, X.; Köhler, B.; Lagali, N. S.
2017. Investigative ophthalmology & visual science, 58 (8), 3535
3D+T terabyte image analysis
Stegmaier, J.; Arz, J.; Mikut, R.; Sanders, P.
2017. DGF Schwerpunktprogramm "Algorithms for Big Data". Annual Meeting of the SPP 1736, TU Kaiserlautern, 20.10.2017
Distributed AC optimal power flow using ALADIN
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2017. GMA-Fachausschuss 1-50 "Grundlagen vernetzter Systeme", Ulm, 30.05.2017
New downhole tool designs for EGS based on platform development approach
Holbein, B.; Isele, J.; Spatafora, L.
2017. Geothermal Resources Council Annual Meeting and GEA GeoExpo+, Salt Lake City, Utah, October 1-4, 2017, 2453–2469, Geothermal Research Council
Progress report: GeoKam - a modularly designed real-time video inspection system
Spatafora, L.; Holbein, B.; Isele, J.
2017. Geothermal Resources Council Annual Meeting and GEA GeoExpo+, Salt Lake City, Utah, October 1-4, 2017, 2857–2864, Geothermal Resources Council
Prognostic Value of the New Prostate Cancer International Society of Urological Pathology Grade Groups
Offermann, A.; Hohensteiner, S.; Kuempers, C.; Ribbat-Idel, J.; Schneider, F.; Becker, F.; Hupe, M. C.; Duensing, S.; Merseburger, A. S.; Kirfel, J.; Reischl, M.; Lubczyk, V.; Kuefer, R.; Perner, S.
2017. Frontiers in medicine, 4, Article no 157. doi:10.3389/fmed.2017.00157
AGaMon - a mobile sensor system for breath control
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2017. AMA Conferences 2017 with SENSOR and IRS², Nürnberg, 30.Mai - 1. Juni 2017. Hrsg.: R. Lerch, 723–726, AMA Service. doi:10.5162/sensor2017/P5.8
Konzept einer Big Data Infrastruktur für zukünftige Leitstellensysteme
Braun, E.; Süß, W.; Stucky, U.; Düpmeyer, C.
2017. 2nd BMBF Big Data All Hands Meeting and 2nd Smart Data Innovation Conference, Karlsruher Institut für Technologie (Campus Süd), Deutschland, 11. - 12. Oktober 2017
Augmentations of the Bag of Visual Words Approach for Real-Time Fuzzy and Partial Image Classification
Bartschat, A.; Stegmaier, J.; Allgeier, S.; Reichert, K.-M.; Bohn, S.; Stachs, O.; Köhler, B.; Mikut, R.
2017. Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. Hrsg.: F. Hoffmann, 227–242, KIT Scientific Publishing
Mining Flexibility Patterns in Energy Time - Series from Industrial Processes
Ludwig, N.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V.
2017. Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. Hrsg.: F. Hoffmann, 13–32, KIT Scientific Publishing
Towards distributed mixed-integer scheduling of energy storage systems
Murray, A.; Hagenmeyer, V.; Faulwasser, T.
2017. D-A-CH+ Energieinformatik 2017. The 6th D-A-CH+ Conference on Energy Informatics, Lugano, CH, October 5-6 2017
Towards ontology-based network model management and data integration for smart grids
Schumilin, A.; Stucky, K.-U.; Sinn, F.; Hagenmeyer, V.
2017. 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), Pittsburgh, PA, 21.04.2017, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MSCPES.2017.8064530
Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern durch bildbasierte Verfahren
Vogelbacher, M.; Keller, S.; Waibel, P.; Matthes, J.; Keller, H. B.
2017. 28. Deutscher Flammentag (2017), Darmstadt, Germany, September 6–7, 2017
Distributed Modifier Adaptation using a Coordinator and Measured Interconnection Variables
Milosavljevic, P.; Schneider, R.; Faulwasser, T.; Bonvin, D.
2017. IFAC-PapersOnLine, 50 (1), 5743–5748. doi:10.1016/j.ifacol.2017.08.1135
Distributed modifier adaptation using a coordinator and measured interconnection variables
Milosavljevic, P.; Schneider, R.; Faulwasser, T.; Bonvin, D.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017
Distributed AC Optimal Power Flow using ALADIN
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2017. IFAC-PapersOnLine, 50 (1), 5536–5541. doi:10.1016/j.ifacol.2017.08.1095
Distributed AC optimal power flow using ALADIN
Engelmann, A.; Mühlpfordt, T.; Jiang, Y.; Houska, B.; Faulwasser, T.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017
Improved Directional Derivatives for Modifier-Adaptation Schemes
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2017. IFAC-PapersOnLine, 50 (1), 5718–5723. doi:10.1016/j.ifacol.2017.08.1124
Improved directional derivatives for modifier-adaptation schemes
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017
Predictive path following of mobile robots without terminal stabilizing constraints
Mehrez, M. W.; Worthmann, K.; Mann, G. K. I.; Gosine, R. G.; Faulwasser, T.
2017. IFAC-PapersOnLine, 50 (1), 9852–9857. doi:10.1016/j.ifacol.2017.08.907
Incipient actuator fault handling in nonlinear model predictive control
Knudsen, B. R.; Faulwasser, T.; Jones, C. N.; Foss, B.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017, 15922–15927, Elsevier. doi:10.1016/j.ifacol.2017.08.1743
Incipient actuator fault handling in nonlinear model predictive control
Knudsen, B. R.; Faulwasser, T.; Jones, C. N.; Foss, B.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017
Model predictive path-following control for airborne wind energy systems
Diwale, S.; Faulwasser, T.; Jones, C. N.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017, 13270–13275, Elsevier. doi:10.1016/j.ifacol.2017.08.1964
Model predictive path-following control for airborne wind energy systems
Diwale, S.; Faulwasser, T.; Jones, C. N.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017
Supporting the environmental risk assessment of nanomaterials with quality-approved information - the DaNa literature criteria checklist
Kühnel, D.; Reithel, S.; Nau, K.; Marquardt, C.; Krug, H. F.; Bohmer, N.; Paul, F.; Steinbach, C.
2017. Scientific Stakeholder Meeting on Nanomaterials in the Environment, Dessau, 10.-11.Oktober 2017
Optimale Lastflussprobleme - verteilte und stochastische Ansätze
Faulwasser, T.
2017. Tagung des GMA-Fachausschusses 1.40 ’Theoretische Verfahren der Regelungstechnik’, Anif, A, September 18-20, 2017
Generator model extension for higher accuracy simulation of power system transients in OpenModelica
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2017. 4th International Conference on Mathematics and Computers in Sciences and Industry (MCSI 2017), Corfu, GR, August 24-26, 2017
Rechnergesteuerte Fokusnachführung zur großflächigen Abbildung des subbasalen Nervenplexus als Biomarker für diabetische Neuropathie
Bohn, S.; Allgeier, S.; Bartschat. A.; Reichert, K. M.; Sperlich, K.; Stolz, H.; Guthoff, R.; Mikut, R.; Köhler, B.; Stachs, O.
2017. Der Ophthalmologe, (Suppl.2), S32
Rechnergesteuerte Fokusnachführung zur großflächigen Abbildung des subbasalen Nervenplexus als Biomarker für diabetische Neuropathie
Bohn, S.; Allgeier, S.; Bartschat. A.; Reichert, K. M.; Sperlich, K.; Stolz, H.; Guthoff, R.; Mikut, R.; Köhler, B.; Stachs, O.
2017. 115.DOG-Kongress, Berlin, 28.September - 1.Oktober 2017
Computer-controlled analysis of solid state nuclear track detectors
Köhler, B.; Reichert, K.-M.; Fesenbeck, I.; Naber, C.; Allgeier, S.
2017. Biomedizinische Technik, 62 (S1), S506
Computer-controlled analysis of solid state nuclear track detectors
Köhler, B.; Reichert, K.-M.; Fesenbeck, I.; Naber, C.; Allgeier, S.
2017. 51. Jahrestagung der Biomedizinischen Technik und Dreiländertagung der Medizinischen Physik (BMT 2017), Dresden, Germany, September 10–13, 2017
Concepts for automated fast focal plane control in subbasal nerve plexus mosaicking to reliably quantify a biomarker for diabetic peripheral neuropathy
Bohn, S.; Allgeier, S.; Bartschat, A.; Guthoff, R.; Köhler, B.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stolz, H.; Stachs, O.
2017. Investigative ophthalmology & visual science, 58 (8), Art. Nr.: 1431
Implementation f an extended generator sybsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory
Kyesswa, M.; Cakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2017. 6th D-A-CH+ Conference on Energy Informatics, Lugano, CH, October 5-6, 2017
Design of a body energy harvesting system for the upper extremity
Brunner, S.; Gerst, M.; Pylatiuk, C.
2017. 51. Jahrestagung der Biomedizinischen Technik und Dreiländertagung der Medizinischen Physik (BMT 2017), Dresden, Germany, September 10–13, 2017
Design of a body energy harvesting system for the upper extremity
Brunner, S.; Gerst, M.; Pylatiuk, C.
2017. Current directions in biomedical engineering, 3 (2), 331–334. doi:10.1515/cdbme-2017-0067
APOSTL: Ein Konzept zum performanten Ontologielernen
Knöll, D.; Rieder, C.; Scherer, K. P.; Baumeister, J.; Furth, S.
2017. Lernen, Wissen, Daten, Analysen (LWDA 2017), Rostock, 11.-13.September 2017
Agent-based model for distributed optimization of microgrids operation
Appino, R. R.; Listmann, K. D.; Chicco, G.
2017. ISGT Europe 2017 - Enabling the Transition to a More Electric World : IEEE International Conference on Innovative Smart Grid Technologies, Torino, I, September 26-29, 2017
Progress report: GeoKam - a modularly designed real-time video inspection system
Spatafora, L.; Holbein, B.; Isele, J.
2017. Geothermal Resources Council Annual Meeting and GEA GeoExpo+, Salt Lake City, Utah, October 1-4, 2017
New downhole tool designs for EGS based on platform development approach
Holbein, B.; Isele, J.; Spatafora, L.
2017. Geothermal Resources Council Annual Meeting and GEA GeoExpo+, Salt Lake City, Utah, October 1-4, 2017
On solving probabilistic load flow for radial grids using polynomial chaos
Appino, R. R.; Muhlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 2017 IEEE Manchester PowerTech, Manchester, GB, June 18-22, 2017, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PTC.2017.7981264
Mosaicking the subbasal nerve plexus
Allgeier, S.; Reichert, K. M.; Stachs, O.; Köhler, B.
2017. European Association for Vision and Eye Research (EVER) Congress 2017, Nice, F, September 27-30, 2017
Mobile sensor system AGaMon for breath control: Thermo-cyclic operation and numerical signal analysis of ternary gas mixtures
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2017. SENSORDEVICES 2017. The 8th International Conference on Sensor Device Technologies and Applications, Roma, I, September 10-14, 2017, 109–114, International Academy, Research, and Industry Association (IARIA)
Mobile sensor system AGaMon for breath control: Thermo-cyclic operation and numerical signal analysis of ternary gas mixtures
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2017. International Conference on Sensor Device Technologies and Applications (SENSORDEVICES 2017), Roma, I, September 10-14, 2017
Preliminary approaches to improve the smart Grid cyber security
Reibelt, K.; El-Bez, G.; Schneider, O.; Matthes, J.; Keller, H.
2017. 6. Jahrestagung des KIT-Zentrums Energie, 2. Juni 2017
Optimal power flow with non-Gaussian uncertainties
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. SCI Workshop, Karlsruhe, September 11-12, 2017
From sensors to users. Using microservices for the handling of measurement data
Schlachter, T.; Braun, E.; Düpmeier, C.; Müller, H.; Scherrer, M.
2017. From Science to Society : New Trends in Environmental Informatics. Ed. B. Otjacques, 203–213, Springer International Publishing. doi:10.1007/978-3-319-65687-8_18
A lighweight web components framework for accessing generic data services in environmental information systems
Braun, E.; Radkohl, A.; Schmitt, C.; Schlachter, T.; Düpmeier, C.
2017. From Science to Society : New Trends in Environmental Informatics. Ed. B. Otjacques, 191–201, Springer International Publishing. doi:10.1007/978-3-319-65687-8_17
A lighweight web components framework for accessing generic data services in environmental information systems
Braun, E.; Radkohl, A.; Schmitt, C.; Schlachter, T.; Düpmeier, C.
2017. 31st International Conference on Informatics for Environmental Protection (ENVIROINFO 2017), Luxembourg, L, September 13-15, 2017
From sensors to users. Using microservices for the handling of measurement data
Schlachter, T.; Braun, E.; Dpmeier, C.; Müller, H.; Scherrer, M.
2017. 31st International Conference on Informatics for Environmental Protection (ENVIROINFO 2017), Luxembourg, L, September 13-15, 2017
Towards climate-economy assessment with explicit consideration of stochastic discount rates
Faulwasser, T.; Kellett, C.; Grüne, L.; Semmler, W.; Weller, S.
2017. 1st IIASA Summer Workshop on Green Growth Modeling, Laxenburg, A, July 26, 2017
Integration von Rohrleitungsnetzen in eine BIM / GIS Umgebung
Geiger, A.; Ziel, F.
2017. 29.Forum Bauinformatik, Dresden, 6.-8.September 2017., 20–27
Integration von Rohrleitungsnetzen in eine BIM / GIS Umgebung
Geiger, A.; Ziel, F.
2017. 29.Forum Bauinformatik, Dresden, 6.-8.September 2017
Predictive path following of mobile robots without terminal stabilizing constraints
Mehrez, M. W.; Worthmann, K.; Mann, G. K. I.; Gosine, R. G.; Faulwasser, T.
2017. 20th IFAC World Congress, Toulouse, F, July 9-14, 2017
Planen, Entscheiden und die Folgen. Modellprediktive Regelung
Worthmann, K.; Faulwasser, T.
2017. Sommerakademie der Studienstiftung des Deutschen Volkes, Neubeuern, 30.Juli - 12.August 2017
Beyond setpoint stabilization. Challenges for optimization-based control of energy storage
Faulwasser, T.
2017. Chalmers University of Technology, Göteborg, S, 4.September 2017
Generating INSPIRE PLU data on base of the German national standard XPlanung
Benner, J.; Krause, K.-U.
2017. INSPIRE Conference 2017, Strasbourg, F, September 6-8, 2017
Additive manufacturing and relevant projects
Scholz, S.
2017. Universidade de Sao Paulo, Sao Paulo, BR, 26.Juli 2017
Digital manufacturing and industry 4.0
Scholz, S.
2017. Universidade Estadual Paulista, Sao Paulo, BR, 28.Juli 2017
Tunable refraction power by mutual rotation of helical lens parts
Sieber, I.; Martin, T.; Stiller, P.
2017. Current Developments in Lens Design and Optical Engineering XVIII, San Diego, CA, August 6-10, 2017. Ed.: R.B. Johnson, 103750L, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2269725
Tracking of Indels by DEcomposition is a Simple and Effective Method to Assess Efficiency of Guide RNAs in Zebrafish
Etard, C.; Joshi, S.; Stegmaier, J.; Mikut, R.; Strähle, U.
2017. Zebrafish, 14 (6), 586–588. doi:10.1089/zeb.2017.1454
An introduction into statistical computing with R
Schmidt, A.; Scholz, S. G.
2017. 7th International Conference on Internet Technologies and Applications, Wrexham, GB, September 12-15, 2017
NMPC with economic objectives on target manifolds
Duijkeren, N. van; Faulwasser, T.; Pipeleers, G.; Swevers, J.
2017. Optimization 2017, Lisboa, P, September 6-8, 2017
Concepts for automated fast focal plane control in subbasal nerve plexus mosaicking to reliably quantify a biomarker for diabetic peripheral neuropathy
Bohn, S.; Allgeier, S.; Bartschat, A.; Guthoff, R.; Köhler, B.; Mikut, R.; Reichert, K.-M.; Sperlich, K.; Stolz, H.; Stachs, O.
2017. ARVO Annual Meeting, Baltimore, MD, May 7-11, 2017
Neues Konzept für den Antrieb eines implantierbaren mechatronischen Akkommodationssystems. PhD dissertation
Martin, T.
2017. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000074394
Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017
Hoffmann, F.; Hüllermeier, E.; Mikut, R. (Eds.)
2017. KIT Scientific Publishing. doi:10.5445/KSP/1000074341
Poster Abstract: Implementation of an extended generator subsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory
Kyesswa, M.; Çakmak, H. K.; Kühnapfel, U.; Hagenmeyer, V.
2017. Computer science - research and development, 1–3. doi:10.1007/s00450-017-0370-7
Poster abstract: graph-theoretic model for observability in multi-carrier energy distribution networks
Hohmann, S.; Maaß, H.; Mieth, C.; Pfeifer, M.; Wagner, D.; Wegner, F.
2017. Computer science - research and development, 33 (1-2), 237–239. doi:10.1007/s00450-017-0366-3
Modelling and control of a falling film evaporation as a mean to enhance process efficiency
Gröll, L.
2017. Workshop, Universität Sankt Petersburg, Russia, 28.Juni - 1.Juli 2017
Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Roald, L.; Hagenmeyer, V.
2017. 56th IEEE Conference on Decision and Control, Melbourne, AUS, December 12-15, 2017
High-throughput screening and analysis of startle response behvior in zebrafish
Peravali, R.; Marcato, D.; Stegmaier, J.; Geisler, R.; Pylatiuk, C.; Reischl, M.; Wezel, J. van; Mikut, R.; Dallman, J.; Strähle, U.
2017. 10th European Zebrafish Meeting, Budapest, H, July 3-7, 2017
A small molecule screen identifies candidate compounds restoring ILK-dependent signaling in an in vivo model of genetic cardiomyopathy
Shahid, M.; Köhler, D.; Pylatiuk, C.; Rottbauer, W.; Just, S.
2017. 10th European Zebrafish Meeting, Budapest, H, July 3-7, 2017
A smartphone-based photo motor response system
Pylatiuk, C.; Marcato, D.; Reichert, K. M.; Peravali, R.; Strähle, U.
2017. 10th European Zebrafish Meeting, Budapest, H, July 3-7, 2017
An Assisted Workflow for the Early Design of Nearly Zero Emission Healthcare Buildings
Sleiman, H. A.; Hempel, S.; Traversari, R.; Bruinenberg, S.
2017. Energies, 10 (7), Art. Nr.: 993. doi:10.3390/en10070993
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0
Jakob, W.; Gonzalez-Ordiano, J. Á.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2017. GECCO ’17 : Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, Germany, 15th - 19th July 2017, 1271–1278, Association for Computing Machinery (ACM). doi:10.1145/3067695.3082481
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0
Jakob, W.; Gonzalez-Ordiano, J. A.; Ludwig, N.; Mikut, R.; Hagenmeyer, V.
2017. Genetic and Evolutionary Computation Conference (GECCO 2017), Berlin, Germany, July 15–19, 2017
Kamerabasierte Optimierung industrieller Hochtemperaturprozesse
Matthes, J.
2017. Hochschule Jena, 7.Juli 2017
Optimal power flow with non-Gaussian uncertainties
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. Innovationen für die Energie von morgen : 6.Jahrestagung des KIT-Zentrums Energie, Karlsruhe, 2.Juni 2017
Enhancing model interchangeability for powerflow studies : An example of a new Hungarian network model in powerfactory and Easimov
Hartmann, B.; Çakmak, H. K.; Kühnapfel, U. G.; Hagenmeyer, V.
2017. Proceedings of the 31st European Conference on Modelling and Simulation (ECMS 2017), Budapest, Hungary, 23rd-26th May 2017, 158–165, European Council for Modelling and Simulation
BIM und GIS - Merkmale, Gemeinsamkeiten, Transformationen
Benner, J.; Geiger, A.; Häfele, K.-H.
2017. 161. DVW-Seminar: Geodäsie und BIM – Grundlagen, Datenmodelle, Anwendungen, Hamburg, 13.Juni 2017
Automotive Safety & Security : Sicherheit und Zuverlässigkeit für automobile Informationstechnik, 30.-31.Mai 2017 Stuttgart
Dencker, P.; Klenk, H.; Keller, H.; Plöderer, E. (Eds.)
2017. Gesellschaft für Informatik (GI)
Receding-horizon optimal control with economic objectives - practical and asymptotic convergence
Faulwasser, T.
2017. Numerical Methods for Optimal Control Problems: Algorithms, Analysis and Applications (NUMOC 2017), Roma, I, June 19-23, 2017
Approximative und exakte Turnpike-Eigenschaften in MPC mit ökonomischen Zielfunktionen
Faulwasser, T.
2017. Sitzung des GAMM Fachausschusses ’Dynamik und Regelung’, Karlsruhe, 8.-9.Juni 2017
Komplexität beherrschen. Lernen, Denken, Schlussfolgern
Keller, H. B.
2017. 3.Berliner Gesamtkonferenz der Sicherheitsinstitutionen, Berlin, 23.Juni 2017
On solving probabilistic load flow for radial grids using polynomial chaos
Appino, R. R.; Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 12th IEEE PES PowerTech Conference, Manchester, GB, June 18-22, 2017
Informing the public on safety aspects of nanomaterials - DaNa2.0
Nau, K.; Bohmer, N.; Krug, H. F.; Kuehnel, D.; Marquardt, C.; Paul, F.; Steinbach, C.
2017. EuroNanoForum 2017, Valletta, Malta, June 21-23, 2017
Novel nano links for additive manufacturing - is there a need for a safety risk management concept in 3D printing?
Scholz, S.; Nau, K.
2017. EuroNanoForum 2017, Valletta, Malta, June 21-23, 2017
System integration of smart flexible multilayer printed systems
Koker, L.; Scholz, S.; Berntzen, L.; Abdelaziz, M.; Bernardini, S.
2017. 10th International Conference on Advances in Computer-Human Interactions (ACHI 2017), Nice, France, March 19–23, 2017
Knowledge acquisition by self learning methods with structured clinical data
Scherer, K. P.; Knoell, D.; Baumeister, J.; Furth, S.
2017. International Journal of Arts and Science (IJAS) Academic Conference, Toronto, CDN, June 5-8, 2017
Large field-of-view tiled grating structures for X-ray phase-contrast imaging
Schröter, T. J.; Koch, F. J.; Meyer, P.; Kunka, D.; Meiser, J.; Willer, K.; Gromann, L.; De Marco, F.; Herzen, J.; Noel, P.; Yaroshenko, A.; Hofmann, A.; Pfeiffer, F.; Mohr, J.
2017. Review of scientific instruments, 88 (2), Art.Nr.: 029901. doi:10.1063/1.4975395
A scalable framework for data-driven ontology evaluation
Knoell, D.; Atzmueller, M.; Rieder, C.; Scherer, K. P.
2017. Tagungsband der 9. Konferenz Professionelles Wissensmanagement (Professional Knowledge Management), WM 2017, Karlsruhe, Germany, April 5-7, 2017. Hrsg.: Y. Sure-Vetter, 97–106, RWTH Aachen
Exploring the Wikipedia-Graph
Schmidt, A.
2017. 9th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2017), Barcelona, E, May 21-25, 2017
8-channel 448 Gbit/s silicon photonic transmitter enabled by photonic wire bonding
Billah, M. R.; Blaicher, M.; Kemal, J. N.; Hoose, T.; Zwickel, H.; Dietrich, P.-I.; Troppenz, U.; Moehrle, M.; Merget, F.; Hofmann, A.; Witzens, J.; Randel, S.; Freude, W.; Koos, C.
2017. OFC 2017 : Optical Fiber Communication Conference, Los Angeles, United States, 19th - 23rd March 2017, Art. Nr. Th5D.6, Optica Publishing Group (OSA). doi:10.1364/OFC.2017.Th5D.6
AGaMon - a mobile sensor system for breath control
Seifert, R.; Conrad, T.; Peter, J.; Keller, H. B.
2017. AMA Sensor-Tagung, Nürnberg, 30.Mai - 1. Juni 2017
Data manipulation and data transformation using the Shell
Schmidt, A.; Scholz, S.
2017. The Ninth International Conference on Advances in Databases, Knowledge and Data Applications. DBKDA 2017. Barcelona, E, May 21-25, 2017
Design of a Mechanism for Converting the Energy of Knee Motions by Using Electroactive Polymers
Armbruster, P.; Oster, Y.; Vogt, M.; Pylatiuk, C.
2017. Biomedizinische Technik, 62 (6), 643–652. doi:10.1515/bmt-2016-0138
Process and parameter optimisation for micro structuring of 3D freeform metallic surfaces: A comparative study of short-pulse (nanosecond) and ultrafast (picosecond, femtosecond) laser ablation
Scholz, S. G.; Sampaio, D. J. B. S.; Mangang, M.; Pfleging, W.
2017. Laser Resonators, Microresonators, and Beam Control XIX 2017, San Francisco, United States, 30. - 2. February, 2017, Art.Nr.: 100920E, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2252044
Large-area full field x-ray differential phase-contrast imaging using 2D tiled gratings
Schröter, T. J.; Koch, F. J.; Kunka, D.; Meyer, P.; Tietze, S.; Engelhardt, S.; Zuber, M.; Baumbach, T.; Willer, K.; Birnbacher, L.; Prade, F.; Pfeiffer, F.; Reichert, K.-M.; Hofmann, A.; Mohr, J.
2017. Journal of physics / D, 50 (22), Art.Nr. 225401. doi:10.1088/1361-6463/aa6e85
Screening and Optimizing Antimicrobial Peptides by Using SPOT-Synthesis
López-Pérez, P. M.; Grimsey, E.; Bourne, L.; Mikut, R.; Hilpert, K.
2017. Frontiers in Chemistry, 5, Article 25. doi:10.3389/fchem.2017.00025
On turnpike and dissipativity properties of continuous-time optimal control problems
Faulwasser, T.; Korda, M.; Jones, C. N.; Bonvin, D.
2017. Automatica, 81, 297–304. doi:10.1016/j.automatica.2017.03.012
Camera-aided analysis and control of load flexible co-combustion of biomass in a pilot-scale power plant combustion system
Matthes, J.; Waibel, P.; Vogelbacher, M.; Scherrmann, A.; Gehrmann, H.-J.; Keller, H. B.
2017. 8th European Combustion Meeting, Dubrovnik, HR, April 18-21, 2017
PANEL: Advances in computer-human interactions
Scholz, S. G.
2017. ACHI 2017 : 10th International Conference on Advances in Compter-Human Interactions, Nice, F, March 19-23, 2017
Digital system integration in the context of industry 4.0
Scholz, S. G.
2017. ACHI 2017 : 10th International Conference on Advances in Compter-Human Interactions, Nice, F, March 19-23, 2017
A scalable framework for data-driven ontology evaluation
Knoell, D.; Atzmueller, M.; Rieder, C.; Scherer, K. P.
2017. 7th German Workshop on Experience Management (GWEM2017) at the 7th Professional Knowledge Management Conference (WM2017), Karlsruhe, April 5-7, 2017
Camera-based optimization of alternative fuel combustion with multi-fuel burners
Vogelbacher, M.; Weibel, P.; Matthes, J.; Keller, H. B.
2017. 8th European Combustion Meeting, Dubrovnik, HR, April 18-21, 2017
A feasible-side globally convergent modifier-adaptation scheme
Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2017. Journal of process control, 54, 38–46. doi:10.1016/j.jprocont.2017.02.013
Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 „Computational Intelligence“
Hoffmann, F.; Kroll, A.; Mikut, R.
2017. Automatisierungstechnik, 65 (3), 153–155. doi:10.1515/auto-2017-0007
Datengetriebene Ontologie-Evaluierung im Big Data Umfeld
Knöll, D.; Rieder, C.; Scherer, K. P.
2017. Informatikfachtagung, Schloss Dagstuhl, Wadern, 20.-22.März 2017
Spatial analysis improves the detection of early corneal nerve fiber loss in patients with recently diagnosed type 2 diabetes
Ziegler, D.; Winter, K.; Strom, A.; Zhivov, A.; Allgeier, S.; Papanas, N.; Ziegler, I.; Brüggemann, J.; Ringel, B.; Peschel, S.; Köhler, B.; Stachs, O.; Guthoff, R. F.; Roden, M.
2017. PLoS one, 12 (3), e0173832. doi:10.1371/journal.pone.0173832
Neue Methodik zur Optimierung der Energieeffizienz des Künstlichen Akkommodationssystems. PhD dissertation
Krug, M.
2017. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000068764
DaMoQ: Eine Open-Source-MATLAB-Toolbox zur Bewertung von Daten- und Modellqualität in Regressionen
Doneit, W.; Mikut, R.; Gröll, L.; Pychynski, T.; Reischl, M.
2017. Automatisierungstechnik, 65 (3), 207–218. doi:10.1515/auto-2016-0128
In-vivo-Bildgebung des kornealen Nervenplexus : Vom Einzelbild zur großflächigen Darstellung
Köhler, B.; Allgeier, S.; Bartschat, A.; Guthoff, R. F.; Bohn, S.; Reichert, K.-M.; Stachs, O.; Winter, K.; Mikut, R.
2017. Der Ophthalmologe, 114 (7), 601–607. doi:10.1007/s00347-017-0464-4
Prognose für preisbeeinflusstes Verbrauchsverhalten
Klaiber, S.; Waczowicz, S.; Konotop, I.; Westermann, D.; Mikut, R.; Bretschneider, P.
2017. Automatisierungstechnik, 65 (3), 179–188. doi:10.1515/auto-2016-0125
Process and parameter optimisation for micro structuring of 3d freeform metallic surfaces - a comparative study of short-pulse (nanosecond) and ultrafast (picosecond, femtosecond) laser ablation
Scholz, S. G.; Sampaio, D. J. B. S.; Mangang, M.; Pfleging, W.
2017. SPIE Photonics West, San Francisco, CA, January 28 - February 2, 2017
Bonding of flexible multilayer printed systems based on PET-substrates. An investigation of challenges and promising approaches
Koker, L.; Paul, A.; Kinay, D.; Rakebrandt, J.-H.; Besser, H.; Moser, D.; Ungerer, M.; Gengenbach, U.
2017. ACHI 2017 : 10th International Conference on Advances in Computer-Human Interactions, Nice, F, March 19-23, 2017. Ed.: R. Oberhauser, 215–221, International Academy, Research, and Industry Association (IARIA)
Industry 4.0 and the futur revolution for human-centered industry
Brunet, A.; Scholz, S.
2017. ACHI 2017 : 10th International Conference on Advances in Compter-Human Interactions, Nice, F, March 19-23, 2017. Ed.: R. Oberhauser, 154–157, International Academy, Research, and Industry Association (IARIA)
Nano inks for additive manufacturing - a safe-by-design-approach
Nau, K.; Müller, T.; Scholz, S. G.; Sampaio, D. J. B. S.
2017. ACHI 2017 : 10th International Conference on Advances in Compter-Human Interactions, Nice, F, March 19-23, 2017. Ed.: R. Oberhauser, 212–214, International Academy, Research, and Industry Association (IARIA)
Industry 4.0 human-oriented challenges using the example of additive manufacturing technologies
Sampaio, D. J. B. S.; Weber, M.-A.; Scholz, S. G.
2017. ACHI 2017 : 10th International Conference on Advances in Compter-Human Interactions, Nice, F, March 19-23, 2017. Ed.: R. Oberhauser, 158–161, International Academy, Research, and Industry Association (IARIA)
Concept of an active optical subsystem for use in an ophthalmic implant
Sieber, I.; Martin, T.; Bretthauer, G.; Gengenbach, U.
2017. ACHI 2017 : 10th International Conference on Advances in Compter-Human Interactions, Nice, F, March 19-23, 2017. Ed.: R. Oberhauser, 222–226, International Academy, Research, and Industry Association (IARIA)
Analysis of the cross section of inkjet-printed conductive tracks on PET films
Ungerer, M.; Spomer, W.; Veith, L.; Fries, A.; Debatin, C.; Wacker, I.; Schröder, R.; Gengenbach, U.
2017. ACHI 2017 : 10th International Conference on Advances in Compter-Human Interactions, Nice, F, March 19-23, 2017. Ed.: R. Oberhauser, 162–168, International Academy, Research, and Industry Association (IARIA)
Bonding of flexible multilayer printed systems based on PET-substrates. An investigation of challenges and promising approaches
Koker, L.; Paul, A.; Kinay, D.; Rakebrandt, J.-H.; Besser, H.; Moser, D.; Ungerer, M.; Gengenbach, U.
2017. 10th International Conference on Advances in Computer-Human Interactions (ACHI 2017), Nice, France, March 19–23, 2017
Industry 4.0 and the futur revolution for human-centered industry
Brunet, A.; Scholz, S.
2017. 10th International Conference on Advances in Computer-Human Interactions (ACHI 2017), Nice, France, March 19–23, 2017
Nano inks for additive manufacturing - a safe-by-design-approach
Nau, K.; Müller, T.; Scholz, S. G.; Sampaio, D. J. B. S.
2017. 10th International Conference on Advances in Computer-Human Interactions (ACHI 2017), Nice, France, March 19–23, 2017
Industry 4.0 human-oriented challenges using the example of additive manufacturing technologies
Sampaio, D. J. B. S.; Weber, M.-A.; Scholz, S. G.
2017. 10th International Conference on Advances in Computer-Human Interactions (ACHI 2017), Nice, France, March 19–23, 2017
Concept of an active optical subsystem for use in an ophthalmic implant
Sieber, I.; Martin, T.; Bretthauer, G.; Gengenbach, U.
2017. 10th International Conference on Advances in Computer-Human Interactions (ACHI 2017), Nice, France, March 19–23, 2017
Analysis of the cross section of inkjet-printed conductive tracks on PET films
Ungerer, M.; Spomer, W.; Veith, L.; Fries, A.; Debatin, C.; Wacker, I.; Schröder, R.; Gengenbach, U.
2017. 10th International Conference on Advances in Computer-Human Interactions (ACHI 2017), Nice, France, March 19–23, 2017
A model for brain life history evolution
González-Forero, M.; Faulwasser, T.; Lehmann, L.
2017. PLoS Computational Biology, 13 (3), e1005380. doi:10.1371/journal.pcbi.1005380
Exact turnpike properties and economic NMPC
Faulwasser, T.; Bonvin, D.
2017. European journal of control, 35, 34–41. doi:10.1016/j.ejcon.2017.02.001
Evaluation of measurement data from a sensor system for breath control
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2017. 11th Asian Conference on Chemical Sensors (ACCS), Penang, MAL, November 16-18, 2015. Ed. : S. K. Zaaba, 020047/1–7, American Institute of Physics (AIP). doi:10.1063/1.4975280
Stochastic optimal power flow for non-Gaussian uncertainties
Faulwasser, T.; Mühlpfordt, T.; Hagenmeyer, V.
2017. Future Electric Power Systems and the Energy Transition : International Conference, Champery, CH, February 5-9, 2017
Credit cycles and inflation targeting in a regime switching model
Faulwasser, T.; Gross, M.; Semmler, W.
2017. 23rd International Conference Computing in Economics and Finance (CEF 2016), New York, NY, June 28-30, 2017
Towards climate-economy assessment with stochastic discount rates. A case study using DICE
Faulwasser, T.; Grüne, L.; Kellett, C. M.; Semmler, W.; Weller, S. R.
2017. 23rd International Conference Computing in Economics and Finance (CEF 2016), New York, NY, June 28-30, 2017
Planning for reality: Models versus the real world in climate economics
Kellett, C. M.; Weller, S. R.; Faulwasser, T.; Grüne, L.; Semmler, W.
2017. 23rd International Conference Computing in Economics and Finance (CEF 2016), New York, NY, June 28-30, 2017
Morphometrische Charakterisierung des subbasalen Nervenplexus, Detektion und Analyse von Nervenfasernetzwerken
Winter, K.; Scheibe, P.; Guthoff, R. F.; Allgeier, S.; Stachs, O.
2017. Der Ophthalmologe, 114 (7), 608–616. doi:10.1007/s00347-017-0465-3
Neuartige Kenngrößen zur Online-Beschreibung des Sonderabfall-Verbrennungsprozesses im Drehrohr einer Industrieanlage auf Basis von Infrarotaufnahmen
Waibel, P.; Vogelbacher, M.; Matthes, J.; Keller, S.; Keller, H. B.
2017. Energie aus Abfall, Band 14. Hrsg.: K. J. Thomé-Kozmiensky, 541–552, TK Verlag Karl Thomé-Kozmiensky
Autophagy induced by silica nanoparticles protects RAW264.7 macrophages from cell death
Marquardt, C.; Fritsch-Decker, S.; Al-Rawi, M.; Diabaté, S.; Weiss, C.
2017. Toxicology, 379, 40–47. doi:10.1016/j.tox.2017.01.019
Solving stochastic (optimal) power flow via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 2017 Grid Science Winter School and Conference, Santa Fe, NM, January 8-13, 2017
Stochastic OPF with non-Gaussian uncertainties. Problem formulation and efficient solution
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2017. 2017 Grid Science Winter School and Conference, Santa Fe, NM, January 8-13, 2017
Vorwort 2017
Bretthauer, G.
2017. Automatisierungstechnik, 65 (1), 1. doi:10.1515/auto-2016-0141
Large field-of-view tiled grating structures for X-ray phase-contrast imaging
Schröter, T. J.; Koch, F. J.; Meyer, P.; Kunka, D.; Meiser, J.; Willer, K.; Gromann, L.; De Marco, F.; Herzen, J.; Noel, P.; Yaroshenko, A.; Hofmann, A.; Pfeiffer, F.; Mohr, J.
2017. Review of scientific instruments, 88 (1), 015104. doi:10.1063/1.4973632
Use of Peptide Libraries for Identification and Optimization of Novel Antimicrobial Peptides
Ashby, M.; Petkova, A.; Gani, J.; Mikut, R.; Hilpert, K.
2017. Current topics in medicinal chemistry, 17 (5), 537–553. doi:10.2174/1568026616666160713125555
Moulded Interconnect devices
Brunet, A.; Gengenbach, U.; Müller, T.; Scholz, S.; Dickerhof, M.
2017. Micro-Manufacturing Technologies and Their Applications : A Theoretical and Practical Guide. Ed.: I. Fassi, Springer International Publishing. doi:10.1007/978-3-319-39651-4_7
Modifier adaptation with guaranteed feasibility in the presence of gradient uncertainty
Marchetti, A. G.; Singhal, M.; Faulwasser, T.; Bonvin, D.
2017. Computers & chemical engineering, 98, 61–69. doi:10.1016/j.compchemeng.2016.11.027
DaNa 2.0 : verlässliche Informationen zur Sicherheit von marktüblichen Nanomaterialien
Steinbach, C.; Bohmer, N.; Krug, H. F.; Kühnel, D.; Nau, K.; Paul, F.; Reithel, S.; Marquardt, C.
2017. Chemie - Ingenieur - Technik, 89 (3), 232–238. doi:10.1002/cite.201600074
The tumor-associated YB-1 protein: new player in the circadian control of cell proliferation
Pagano, C.; Martino, O. di; Ruggiero, G.; Maria Guarino, A.; Mueller, N.; Siauciunaite, R.; Reischl, M.; Simon Foulkes, N.; Vallone, D.; Calabro, V.
2017. OncoTarget, 8 (4), 6193–6205. doi:10.18632/oncotarget.14051
Lateral Vehicle Trajectory Optimization Using Constrained Linear Time-Varying MPC
Gutjahr, B.; Gröll, L.; Werling, M.
2017. IEEE transactions on intelligent transportation systems, 18 (6), 1586–1595. doi:10.1109/TITS.2016.2614705
Integrated Research as Key to the Development of a Sustainable Geothermal Energy Technology
Meller, C.; Bremer, J.; Ankit, K.; Baur, S.; Bergfeldt, T.; Blum, P.; Canic, T.; Eiche, E.; Gaucher, E.; Hagenmeyer, V.; Heberling, F.; Held, S.; Herfurth, S.; Isele, J.; Kling, T.; Kuhn, D.; Mayer, D.; Müller, B.; Nestler, B.; Neumann, T.; Nitschke, F.; Nothstein, A.; Nusiaputra, Y.; Orywall, P.; Peters, M.; Sahara, D.; Schäfer, T.; Schill, E.; Schilling, F.; Schröder, E.; Selzer, M.; Stoll, M.; Wiemer, H.-J.; Wolf, S.; Zimmermann, M.; Kohl, T.
2017. Energy technology, 5 (7), 965–1006. doi:10.1002/ente.201600579
Evaluation of the Droplet-Microarray Platform for High-Throughput Screening of Suspension Cells
Popova, A. A.; Depew, C.; Permana, K. M.; Trubitsyn, A.; Peravali, R.; Ordiano, J. Á. G.; Reischl, M.; Levkin, P. A.
2017. Journal of laboratory automation, 22 (2), 163–175. doi:10.1177/2211068216677204
Comparative quantitative assessment of the human corneal sub-basal nerve plexus by in vivo confocal microscopy and histological staining
Kowtharapu, B. S.; Winter, K.; Marfurt, C.; Allgeier, S.; Köhler, B.; Hovakimyan, M.; Stahnke, T.; Wree, A.; Stachs, O.; Guthoff, R. F.
2017. Eye, 31, 481–490. doi:10.1038/eye.2016.220
Zuverlässigkeit in der Nanosicherheitsforschung = Reliability for Nanosafety Research
Krug, H. F.; Nau, K.
2017. Chemie - Ingenieur - Technik, 89 (3), 215–223. doi:10.1002/cite.201600088
A novel brain tumour model in zebrafish reveals the role of YAP activation in MAPK/PI3K induced malignant growth
Mayrhofer, M.; Gourain, V.; Reischl, M.; Affaticati, P.; Jenett, A.; Joly, J.-S.; Benelli, M.; Demichelis, F.; Poliani, P. L.; Sieger, D.; Mione, M.
2017. Disease models & mechanisms, 10, 15–28. doi:10.1242/dmm.026500
A Novel Approach to Analyze the Progression of Measured Corneal Sub-Basal Nerve Fiber Length in Continuously Expanding Mosaic Images
Allgeier, S.; Winter, K.; Bretthauer, G.; Guthoff, R. F.; Peschel, S.; Reichert, K.-M.; Stachs, O.; Köhler, B.
2017. Current eye research, 42 (4), 549–556. doi:10.1080/02713683.2016.1221977
Generic Web Framework for Environmental Data Visualization
Braun, E.; Düpmeier, C.; Kimming, D.; Schillinger, W.; Weissenbach, K.
2017. Advances and New Trends in Environmental Informatics : Stability, Continuity, Innovation. Ed. V. Wohlgemuth, 289–299, Springer International Publishing. doi:10.1007/978-3-319-44711-7_23
Environmental benefits and concerns on safety: communicating latest results on nanotechnology safety research—the project DaNa2.0
Kühnel, D.; Marquardt, C.; Nau, K.; Krug, H. F.; Paul, F.; Steinbach, C.
2017. Environmental Science and Pollution Research, 24 (12), 11120–11125. doi:10.1007/s11356-016-6217-0
2016
An efficient and secure certificateless public key watermarking scheme based on 1VD-DWT
Wahballa, O.; Abdalla, A.; Hamdnaalla, K.; Ramadan, M.; Xu, C.
2016. 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), Chengdu, China, 05-07 July 2016, 183–188, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCCBDA.2016.7529555
Digital Rights Management - Current Status and Future Trends
Abdalla, H.; Hu, X.; Wahaballa, A.; Abdalla, A.; Ramadan, M.; Zhiguang, Q.
2016. 2016 3rd International Conference on Information Science and Control Engineering (ICISCE), Beijing, China, 08-10 July 2016, 338–342, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICISCE.2016.82
User-to-User Mutual Authentication and Key Agreement Scheme for LTE Cellular System
Ramadan, M.; Li, F.; Xu, C.; Mohamed, A.; Abdalla, H.; Abdalla, A.
2016. International journal of network security, 18 (4), 769–781
EEE-GSM: End-to-End Encryption Scheme over GSM System
Ramadan, M.; Du, G.; Li, F.; Xu, C. X.
2016. International Journal of Security and Its Applications, 10 (6), 229–240. doi:10.14257/ijsia.2016.10.6.22
Sources localization via multi-dimesional scaling based on subspace method
Ahmed, H. I.; Qun, W.; Ramadan, M.; Xue-ke, D.; Zhi-ping, Z.
2016. IEEE Information Technology, Networking, Electronic and Automation Control Conference, Chongqing, China, 20-22 May 2016, 756–760, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITNEC.2016.7560463
Efficient functional encryption and proxy re-cryptography for secure public cloud data sharing
Abdalla, H.; Hu, X.; Wahaballa, A.; Eltayieb, N.; Ramadan, M.; Zhiguang, Q.
2016. 2016 IEEE International Conference of Online Analysis and Computing Science (ICOACS), Chongqing, China, 28-29 May 2016, 367–370, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICOACS.2016.7563117
An efficient end-to-end mutual authentication scheme for 2G-GSM system
Ramadan, M.; Li, F.; Xu, C. X.; Abdalla, A.; Abdalla, H.
2016. 2016 IEEE International Conference on Big Data Analysis (ICBDA), Hangzhou, China, 12-14 March 2016, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICBDA.2016.7509848
at/msr und Boppard: Der Weg zur regelungstechnischen deutschen Einheit
Bretthauer, G.
2016. Automatisierungstechnik, 64 (2), 157–159. doi:10.1515/auto-2016-0010
How will technology effect our mobile future, digitization, and energy transition?
Hillerbrand, R.; Hagenmeyer, V.; Doppelbauer, M.
2016. 2016 KIT Annual Celebration: Energy, Mobility, and Information in the Focus of Research – Knowledge for Society and the Environment – Hanselka on KIT 2025: Full Use of Synergy Potentials (2016), Karlsruhe, Germany, April 15, 2016
High throughput polymer micro replication quality assurance using 3D optical high-speed metrology
Scholz, S.; Calaon, M.; Tosello, G.; Hansen, H.; Prantl, M.; Dessors, S.; Müller, T.; Miller, N.
2016. 16th International Conference of the European Society for Precision Engineering and Nanotechnology (2016), Nottingham, United Kingdom, May 30–June 3, 2016
Towards in process control of polymer injection moulded micro components
Calaon, M.; Tosello, G.; Hansen, H. N.; Prantl, M.; Dessors, S.; Mueller, T.; Scholz, S. G.; Miller, N.
2016. Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, Nottingham, GB, May 30 - June 3, 2016. Ed.: P. Bointon, 455–456, European Society for Precision Engineering and Nanotechnology (euspen)
IFC-Daten für die thermische Gebäudesimulation
Geiger, A.; Reichenbach, I.; Häfele, K.-H.
2016. 28.Forum Bauinformatik, Hannover, 19.-21.Septemmber 2016. Tagungsband. Hrsg.: T. Berthold, 41–51, Leibniz Universität
IFC-Daten für die thermische Gebäudesimulation
Geiger, A.; Reichenbach, I.; Häfele, K.-H.
2016. 28.Forum Bauinformatik, Hannover, 19.-21.Septemmber 2016
Power Grid Simulation - Using the MATPOWER-library on bwUniCluster for high-performance parallel Power Flow Timeseries Computation
Kühnapfel, U. G.; Cakmak, H. K.; Piccioni Koch, D.
2016. Workshop zum HGF-Programm SBD - Schwerpunkt: Energie, Karlsruhe, June 30 - July 1, 2016
Use of memory-/type-/thread-safe programming languages
Bao, K.; Schneider, O.; Keller, H.
2016. ​IEEE Invitational Workshop to Create ​a Building Code for Building Code for Power System Software Security, University of Illinois at Urbana-Champaign, November 16-18, 2016
Heat Exchanger for Down-Hole Condensation Process Theoretical and Experimental Investigation, Considering Surrounding Fluid Properties
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.; Schulenberg, T.
2016. Geothermal Resources Council Annual Meeting (GRC 2016) : Geothermal Energy Here and Now : Sustainable, Clean, Flexible, Sacramento, California, USA, 23 - 26 October 2016. Ed.:, 949–956, Geothermal Resources Council (GRC)
Enhanced jet stability for the melt-based production of lithium orthosilicate/metatitanate pebbles
Leys, O.; Waibel, P.; Matthes, J.; Knitter, R.
2016. 29th International Symposium on Fusion Technology (SOFT 2016), Prague, Czechia, September 5–9, 2016
Camera based identification and control of the waelz process
Matthes, J.; Waibel, P.; Keller, H. B.; Gröll, L.
2016. ICINCO 2016 - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics; 29-31 July Lisbon. Ed.: D. Peaucelle, 291–298, SciTePress
Translatability and Translation of Updated Views in ModelJoin
Burger, E.; Schneider, O.
2016. 9th International Conference on Theory and Practice of Model Transformations, ICMT 2016 Held as Part of Conference on Software Technologies: Applications and Foundations, STAF 2016; Vienna; Austria; 4 July 2016 through 5 July 2016. Ed.: P. Van Gorp, 55–69, Springer International Publishing. doi:10.1007/978-3-319-42064-6_4
Über die Erkennung von Übersetzungsplagiaten
Bühler, S.; Schmidt, A.
2016. Forschung aktuell, 2016, 39–42
Automated feature detection and screening in zebrafish embryos
Pylatiuk, C.; Stegmaier, J.; Marcato, D.; Spomer, W.; Pfriem, A.; Reischl, M.; Alshut, R.; Mikut, R.; Peravali, R.; Strähle, U.
2016. Fish and Amphibian Embryos as Alternatve Models in Toxicology and Teralogy : An International Symposium and Workshop, Aulnay-sour-Bois, F, December 1-2, 2016
Analysis of power system dynamics
Kyesswa, M.
2016. Doktorandenworkshop der Initiative EnergieSystem 2050, Friedrichsdorf, 7.-8. Dezember 2016
Jahresrückblick 2016
Bretthauer, G.
2016. Automatisierungstechnik, 64 (12), 927–929. doi:10.1515/auto-2016-0133
Hierarchical imaging : a new concept for targeted imaging of large volumes from cells to tissues
Wacker, I.; Spomer, W.; Hofmann, A.; Thaler, M.; Hillmer, S.; Gengenbach, U.; Schröder, R. R.
2016. BMC cell biology, 17 (38), 1–12. doi:10.1186/s12860-016-0122-8
Lenses for Low-Loss Chip-to-Fiber and Fiber-to-Fiber Coupling Fabricated by 3D Direct-Write Lithography
Dietrich, P.-I.; Reuter, I.; Blaicher, M.; Schneider, S.; Billah, M. R.; Hoose, T.; Hofmann, A.; Caer, C.; Dangel, R.; Offrein, B.; Möhrle, M.; Troppenz, U.; Zander, M.; Freude, W.; Koos, C.
2016. Conference on Lasers and Electro-Optics (CLEO 2016), San Jose, CA, June 5-10, 2016. OSA Technical Digest, paper SM1G.4, Optica Publishing Group (OSA). doi:10.1364/CLEO_SI.2016.SM1G.4
Identification of electrical simulation models based on measurements in live systems
Jumar, R.
2016. Doktorandenworkshop der Initiative EnergieSystem 2050, Friedrichsdorf, 7.-8. Dezember 2016
LUPO mobil - Konzepte und technologische Einblicke in die App ’meine Umwelt’
Kimmig, D.; Schillinger, W.; Schlachter, T.; Düpmeier, C.; Hibbeler, C.; Koch, L.; Weissenbach, K.
2016. Tagungsband des 23. Workshops "Umweltinformationssysteme 2016 - Umweltbeobachtung: Nah und Fern" (UIS 2016) des Arbeitskreises "Umweltinformationssysteme" der Fachgruppe "Informatik im Umweltschutz" der Gesellschaft für Informatik (GI) , Leipzig, 1.-2..Juni 2016. Hrsg.: U. Freitag, 117–128
Zuverlässige und sichere Software offener Automatisierungssysteme der Zukunft – Herausforderungen und Lösungswege
Keller, H. B.; Schneider, O.; Matthes, J.; Hagenmeyer, V.
2016. Automatisierungstechnik, 64 (12), 930–947. doi:10.1515/auto-2016-0060
Lastprognosen für das Fernwärmenetz der Stadt Karlsruhe
Mikut, R.; Renkamp, N.; Gonzalez Ordiano, J. A.; Ludwig, N.; Schlagel, T.; Waczowicz, S.; Hagenmeyer, V.; Rink, M.; Iser, A.; Hitzel, J.
2016. 4. Workshop der Stadt Karlsruhe mit den KIT-Zentren “Klima und Umwelt” und “Energie” (2016), Karlsruhe, Germany, November 29, 2016
Lastprognosen für das Fernwärmenetz der Stadt Karlsruhe
Mikut, R.
2016. Statuskolloquium der Forschungspartnerschaft Karlsruhe Energie, Karlsruhe, 23.November 2016
Energy projects in KIT-IAI: Energy lab 2.0 and beyond
Mikut, R.; Hagenmeyer, V.
2016. Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung, Ilmenau, 2.Dezember 2016
Basic concepts of the energy system 2050 co-simulation platform
Liu, J.; Düpmeier, C.
2016. Doktorandenworkshop der Initiative EnergieSystem 2050, Friedrichsdorf, 7.-8. Dezember 2016
A new software architecture for a distributed, modular and scalable IT infrastructure of future power system control centers
Braun, E.; Düpmeier, C.
2016. Doktorandenworkshop der Initiative EnergieSystem 2050, Friedrichsdorf, 7.-8. Dezember 2016
Application of receding horizon optimal control to DICE integrated assessment models
Faulwasser, T.; Grüne, L.; Kellett, C. M.; Weller, S.
2016. 10th International Conference on Computational and Financial Econometrics (CFE 2016), Sevilla, E, December 9-11, 2016
Stochastic optimal power flow - probem formulation and solution
Mühlpfordt, T.
2016. Doktorandenworkshop der Initiative EnergieSystem 2050, Friedrichsdorf, 7.-8. Dezember 2016
Optimal load sharing of parallel compressors via modifier adaptation
Milosavljevic, P.; Cortinovis, A.; Marchetti, A. G.; Faulwasser, T.; Mercangoz, M.; Bonvin, D.
2016. 2016 IEEE Conference on Control Applications (CCA), Buenos Aires, Argentina, 19–22 September 2016, 1488–1493, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCA.2016.7588011
How I learned to stop fixing code ... over and over again
Schneider, O.
2016. Rust Belt Rust Conference, Pittsburgh, PA, October 27-28, 2016
Integrierte Entwicklung zuverlässiger Software
Schneider, O.; Keller, H. B.
2016. Softwaretechnik-Trends, 36 (3), 12–16
New Data-Driven Probabilistic Forecasting Methods
Gonzalez Ordiano, J. A.; Mikut, R.; Hagenmeyer, V.
2016. Doktorandenworkshop der Initiative EnergieSystem 2050, Friedrichsdorf, 7.-8. Dezember 2016
Modifier Adaptation for Real-Time Optimization - Methods and Applications
Marchetti, A.; François, G.; Faulwasser, T.; Bonvin, D.
2016. Processes, 4 (4), 55. doi:10.3390/pr4040055
Time-Optimal Path-Following Operation in the Presence of Uncertainty
Milosavljevic, P.; Faulwasser, T.; Marchetti, A.; Bonvin, D.
2016. Proceedings of the 15th European Control Conference (ECC16), Aalborg, DK, June 29 - July 1, 2016
Time-Optimal Path-Following Operation in the Presence of Uncertainty
Milosavljevic, P.; Faulwasser, T.; Marchetti, A.; Bonvin, D.
2016. 15th European Control Conference (ECC16), Aalborg, DK, June 29 - July 1, 2016
Big Data : Perspektiven für Smart Grids und Smart Building
Mikut, R.
2016. 20.Dresdner Baustatik-Seminar, Dresden, 21.Oktober 2016
Supporting risk assessment of nanomaterials with quality - approved information - DaNa Literature Criteria Checklist
Marquardt, C.; Bohmer, N.; Krug, H. F.; Kuehnel, D.; Paul, F.; Steinbach, C.; Nau, K.
2016. Nanosafe 2016 Conference, Grenoble, F, November 7-10, 2016
Bildbasierte Überwachung alternativer Brennstoffe eines Mehrstoffbrenners bei industriellen Verbrennungsprozessen
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2016. Forum Bildverarbeitung, Karlsruhe, 1.-2.Dezember 2016
Image reprocessing for multi-fuel burner analysis and optimization
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2016. European Conference on Computer Vision (ECCV), Amsterdam, NL, October 8-16, 2016
Quantitative analysis of central corneal sub-basal inflammatory cells and dendritic cells in large-area mosaic images obtained by in vivo confocal microscopy
Badian, R. A.; Utheim, T. P.; Allgeier, S.; Köhler, B.; Lagali, N.
2016. Investigative ophthalmology & visual science, 57 (12), 1929
Analysis of corneal subbasal nerve plexus from wide-area mosaics in healthy subjects and in type 2 diabetics
Lagali, N.; Allgeier, S.; Guimaraes, P.; Badian, R.; Ruggeri, A.; Köhler, B.; Utheim, T. P.; Peebo, B.; Peterson, M.; Dahlin, L.; Rolandsson, O.
2016. Investigative ophthalmology & visual science, 57 (12), Art. Nr. 6158
Bildbasierte Überwachung alternativer Brennstoffe eines Mehrstoffbrenners bei industriellen Verbrennungsprozessen
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2016. Forum Bildverarbeitung, Karlsruhe, 1.-2.Dezember 2016
Bildbasierte Überwachung und Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, S.; Keller, H. B.
2016. Anlagenbezogenes Monitoring : neue Anforderungen - neue Konzepte ; Würzburg, 25. und 26. Oktober 2016, 201–212, VDI Verlag
Bildbasierte Überwachung alternativer Brennstoffe eines Mehrstoffbrenners bei industriellen Verbrennungsprozessen = Image-based monitoring of alternative fuels of multi-fuel burner at industrial combustion processes
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2016. Forum Bildverarbeitung 2016. Hrsg.: M. Heizmann, 297–308, KIT Scientific Publishing
Automatic corneal tissue classification using bag-of-visual-words approaches
Bartschat, A.; Toso, L.; Stegmaier, J.; Kuijper, A.; Mikut, R.; Köhler, B.; Allgeier, S.
2016. Forum Bildverarbeitung 2016. Hrsg.: M. Heizmann, 245–256, KIT Scientific Publishing
Additive Manufacturing für Elektronik-Komponenten
Scholz, S.
2016. Von Losgröße 1 bis Serienfertigung – 3D Druck in Maschinenbau, Elektronik und Life Sciences, KIT-Business-Club , Karlsruhe, 16.November 2016
Beispiele für den Einsatz von Automatisierungstechnik bei der Analyse biologischer Modellorganísmen
Marcato, D.; Breitwieser, H.; Scheikl, P.; Peravali, R.; Reischl, M.; Pylatiuk, C.
2016. Automatisierungstechnik, 64 (11), 915–925. doi:10.1515/auto-2016-0117
Mitverbrennung von Biomasse in einer Kraftwerksstaubfeuerung im Pilotmaßstab
Scherrmann, A.; Gehrmann, H.-J.; Baumann, W.; Teuscher, N.; Hauser, M.; Seifert, H.; Stapf, D.; Paur, H.-R.; Matthes, J.; Waibel, P.; Vogelbacher, M.; Keller, H.
2016. Kraftwerkstechnik 2016 – Strategien, Anlagentechnik und Betrieb. Hrsg.: M. Beckmann, 605–624, SAXONIA Standortentwicklungs- und –verwaltungsgesellschaft mbh
The DaNa2.0 knowledge base on nanomaterials – Communicating current nanosafety research based on evaluated literature data
Nau, K.; Bohmer, N.; Kühnel, D.; Marquardt, C.; Paul, F.; Steinbach, C.; Krug, H. F.
2016. Journal of materials education, 38 (3-4), 93–108
Mitverbrennung von Biomasse in einer Kraftwerksstaubfeuerung im Pilotmaßstab
Scherrmann, A.; Gehrmann, H.-J.; Baumann, W.; Teuscher, N.; Hauser, M.; Seifert, H.; Stapf, D.; Paur, H.-R.; Matthes, J.; Waibel, P.; Vogelbacher, M.; Keller, H.
2016. 48. Kraftwerkstechnisches Kolloquium, 18.-19.10.16, Dresden
A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms
Vladov, N.; Segal, J.; Ratchev, S.; Plasch, M.; Kimmig, D.; Dickerhof, M.
2016. The international journal of advanced manufacturing technology, 87 (1), 553–569. doi:10.1007/s00170-016-8514-7
Sichere Nanomaterialien?!
Nau, K.; Krug, H. F.
2016. Physik-Journal, 15 (11), 29–34
Portable auricular device for real-time swallow and chew detection
Steimer, K. C.; Zimmermann, C.; Zeitfelder, J.; Pylatiuk, C.; Stork, W.
2016. Current directions in biomedical engineering, 2 (1), 129–133. doi:10.1515/cdbme-2016-0031
Implementation of Nonlinear Model Predictive Path-Following Control for an Industrial Robot
Faulwasser, T.; Weber, T.; Zometa, P.; Findeisen, R.
2016. IEEE transactions on control systems technology, PP (99), 7575680/1–7. doi:10.1109/TCST.2016.2601624
Proposal for a new LoD and multi-representation concept for CityGML
Löwner, M. O.; Gröger, G.; Benner, J.; Biljecki, F.; Nagel, C.
2016. ISPRS annals, IV-2/W1, 3–12. doi:10.5194/isprs-annals-IV-2-W1-3-2016
Proposal for a new LoD and multi-representation concept for CityGML
Löwner, M. O.; Gröger, G.; Benner, J.; Biljecki, F.; Nagel, C.
2016. 11th 3D Geoinfo Conference, Athinai, GR, October 20-21, 2016
Solving stochastic AC power flow via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2016. 2016 IEEE Conference on Control Applications (CCA), Part of 2016 IEEE Multi-Conference on Systems and Control, Buenos Aires, RA, September 19-22, 2016. Proceedings, 70–76, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCA.2016.7587824
Solving stochastic AC power flow via polynomial chaos expansion
Mühlpfordt, T.; Faulwasser, T.; Hagenmeyer, V.
2016. 2016 IEEE Conference on Control Applications (CCA), Part of 2016 IEEE Multi-Conference on Systems and Control, Buenos Aires, RA, September 19-22, 2016
Energie- und speichereffiziente Berechnung des Akkomodationsbedarfs im künstlichen Akkommodationssystem
Nagel, J. A.; Beck, C.; Harms, H.; Stiller, P.; Guth, H.; Stachs, O.; Bretthauer, G.
2016. Schlaglicht Augenheilkunde : Linse, Katarakt und refraktive Chirurgie. Hrsg.: G.K. Lang, 66–71, Thieme Gruppe
Ein neues mechatronisches System zur Wiederherstellung der Akkomodationsfähigkeit des menschlichen Auges
Bretthauer, G.; Gengenbach, U.; Stachs, O.; Guthoff, R.
2016. Schlaglicht Augenheilkunde : Linse, Katarakt und refraktive Chirurgie. Hrsg.: G.K. Lang, 72–77, Thieme Gruppe
Kapselung eines mechatronischen Systems zur Wiederherstellung der Akkommodationsfähigkeit
Rheinschmitt, L.; Gengenbach, U.; Bretthauer, G.
2016. Schlaglicht Augenheilkunde : Linse, Katarakt und refraktive Chirurgie. Hrsg.: G.K. Lang, 78–82, Thieme Gruppe
A knowledge based support for cataract surgery
Scherer, K. P.; Germann, M.; Baumeister, J.; Furth, S.
2016. Mediterranean Conference for Academic Disciplines, Valletta, Malta, March 6-10, 2016
I-CARE: Individual activation of people with dementia
Schultz, T.; Putze, F.; Schulze, T.; Mikut, R.; Doneit, W.; Kruse, A.; Depner, A.; Franz, I.; Engels, M. A.; Gaerte, P.; Bothe, D.; Ziegler, C.; Maucher, I.; Ricken, M.; Dimitrov, T.; Herzig, J.; Bernardin, K.; Gehrig, T.; Lohse, J.; Adam, M.; Fischer, M.; Volpe, M.; Simon, C.
2016. 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016), Bremen, September 26-30, 2016. Proceedings. Ed.: T. Barkowsky, 219–220
I-CARE: Individual activation of people with dementia
Schultz, T.; Putze, F.; Schulze, T.; Mikut, R.; Doneit, W.; Kruse, A.; Depner, A.; Franz, I.; Engels, M. A.; Gaerte, P.; Bothe, D.; Ziegler, C.; Maucher, I.; Ricken, M.; Dimitrov, T.; Herzig, J.; Bernardin, K.; Gehrig, T.; Lohse, J.; Adam, M.; Fischer, M.; Volpe, M.; Simon, C.
2016. 13th Biannual Conference of the German Cognitive Science Society (KogWis 2016), Bremen, September 26-30, 2016
Alcohol control: Mobile sensor system and numerical signal analysis
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2016. Sensors & transducers, 205 (10), 10–15
Generic data services for the management of large-scale data applications
Süß, W.; Stucky, K.-U.; Jakob, W.; Maaß, H.; Cakmak, H. K.
2016. WSEAS transactions on computers, 15, 265–278
Generic data services for the management of large-scale data applications
Süß, W.; Stucky, K.-U.; Jakob, W.; Maaß, H.; Cakmak, H. K.
2016. European Conference on Computer Science (ECCS 2016), Roma, I, October 21-23, 2016
Nanopartikel - Gut oder bedenklich?
Marquardt, C.
2016. 25jähriges Jubiläum BUND Viernheim, VHS Viernheim, 21.Oktober 2016
Heat exchanger for down-hole condensation process
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.; Schulenberg, T.
2016. 40th Geothermal Research Council Annual Meeting, Sacramento, CA, October 23-26, 2016. Technical Session Papers, 949–955
Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems
González Ordiano, J. Á.; Doneit, W.; Waczowicz, S.; Gröll, L.; Mikut, R.; Hagenmeyer, V.
2016. Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016. Hrsg.: F. Hoffmann, 9–30, KIT Scientific Publishing
Ausblick INOVUM II. Geplante F+E-Aktivitäten in der Phase II von INOVUM
Weissenbach, K.; Schillinger, W.; Weidemann, R.
2016. Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase I 2014/16. Hrsg.: K. Weissenbach, 39–50, KIT Scientific Publishing
LUPO Umsetzung einer (micro-)serviceorientierten Architektur (SOA) für Landesumweltportale
Schlachter, T.; Braun, E.; Düpmeier, C.; Greceanu, C.; Schmitt, C.; Kimmig, D.; Schillinger, W.; Tauber, M.; Weissenbach, K.; Möhnle, M.; Müller, J.; Köther, B.; Schwarz, H.; Kalemba, D.
2016. Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase I 2014/16. Hrsg.: R. Weidemann, 25–37, KIT Scientific Publishing
Real-Time Optimization Based on Adaptation of Surrogate Models
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2016. IFAC-PapersOnLine, 49 (7), 412–417. doi:10.1016/j.ifacol.2016.07.377
Bildbasierte Überwachung und Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, S.; Keller, H. B.
2016. 3.VDI-Fachtagung ’Anlagenbezogenes Monitoring’, Würzburg, 25.-26.Oktober 2016
Recheneffiziente Trajektorienoptimierung für Fahrzeuge mittels quadratischem Programm
Gutjahr, B.; Pek, C.; Gröll, L.; Werling, M.
2016. Automatisierungstechnik, 64 (10), 786–794. doi:10.1515/auto-2016-0074
Konzept und Realisierung eines optischen Mikrosystems zur Wiederherstellung der Akkommodation = Concept and realisation of an optical microsystem to restore accommodation
Gengenbach, U.; Beck, C.; Guth, H.; Koker, L.; Krug, M.; Martin, T.; Nagel, J.; Sieber, I.; Stiller, P.; Stachs, O.; Guthoff, R. F.
2016. Automatisierungstechnik, 64 (10), 839–849. doi:10.1515/auto-2016-0062
The Dana2.0 Knowledge Base on Nanomaterials – Communicating Current Nanosafety Research Based on Evaluated Literature Data
Nau, K.; Bohmer, N.; Kühnel, D.; Marquardt, C.; Paul, F.; Steinbach, C.; Krug, H. F.
2016. Journal of materials education, 38 (3-4), 93–108
Injection moulding and selective metallisation technologies for polymer microsystems
Dessors, S.; Tenchine, L.; Gout, S.; Azcarate, S.; Tosello, G.; Calaon, M.; Miller, N.; Brown, B.; Edouard, C.; Müller, T.; Wittner, W.; Prantl, M.; Shang, X.; Batal, A.
2016. 4M/IWMF2016 Conference, Lyngby, DK, September 13-15, 2016
Injection moulding and selective metallisation technologies for polymer microsystems
Dessors, S.; Tenchine, L.; Gout, S.; Azcarate, S.; Tosello, G.; Calaon, M.; Miller, N.; Brown, B.; Edouard, C.; Müller, T.; Wittner, W.; Prantl, M.; Shang, X.; Batal, A.
2016. Proceedings of the 4M/IWMF2016 Conference, Lyngby, DK, September 13-15, 2016. Ed.: G. Tosello, 19–22, Research Publishing
Combining metal injection moulding and polymer over moulding for the production of orthopaedic implants
Müller, T.; Santos Machado, L.; Philipp-pichler, M.; Wilfinger, T.; Wittner, W.; Prantl, M.; Scholz, S. G.
2016. Proceedings of the 4M/IWMF2016 Conference, Lyngby, DK, September 13-15, 2016. Ed.: G. Tosello, Research Publishing. doi:10.3850/978-981-11-0749-8_742
Combining metal injection moulding and polymer over moulding for the production of orthopaedic implants
Müller, T.; Santos Machado, L.; Philipp-pichler, M.; Wilfinger, T.; Wittner, W.; Prantl, M.; Scholz, S. G.
2016. 4M/IWMF2016 Conference, Lyngby, DK, September 13-15, 2016
Control scheme selection in human-machine-interfaces by analysis of activity signals
Doneit, W.; Mikut, R.; Liebetanz, D.; Rupp, R.; Reischl, M.
2016. Current directions in biomedical engineering, 2 (1), 707–710. doi:10.1515/cdbme-2016-0153
Energieatlas Baden-Württemberg. Daten und Fakten zur Energiewende
Gschwender, D.; Kost, F.; Niemeier, R.; Koch, L.; Düpmeier, C.; Schlachter, T.; Schillinger, W.
2016. Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase I 2014/16. Hrsg.: K. Weissenbach, 61–70, KIT Scientific Publishing
LUPO mobil - Synergieeffekte bei der Entwicklung mobiler Anwendungen am Beispiel der Apps ’Meine Umwelt’ und ’Meine Pegel’
Kimmig, D.; Schillinger, W.; Tauber, M.; Schlachter, T.; Braun, E.; Düpmeier, C.; Greceanu, C.; Schmitt, C.; Koch, L.; Hibbeler C.; Westrich, P.; Weissenbach, K.
2016. Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase I 2014/16. Hrsg.: K. Weissenbach, 39–50, KIT Scientific Publishing
INOVUM Entwicklungsplattform. Unterstützung der Projektabwicklung vom Anforderungsmanagement zum Softwareartefakt
Kimmig, D.; Schillinger, W.; Tauber, M.; Nonnenmann, B.; Schlachter, T.; Braun, E.; Düpmeier, C.; Greceanu, C.; Schmitt, C.; Koch, L.; Hibbeler, C.; Westrich, P.
2016. Umweltinformationssystem Baden-Württemberg, F+E-Vorhaben INOVUM, Innovative Umweltinformationssysteme. Phase I 2014/16. Hrsg.: K. Weissenbach, 71–80, KIT Scientific Publishing
Automation of the test procedure for accelerated aging of implant packages
Koker, L.; Nagel, J. A.; Schulz, B.; Ritter, F.; Vollmannshauser, S.; Besser, H.; Gengenbach, U.
2016. Automatisierungstechnik, 64 (10), 827–838. doi:10.1515/auto-2016-0056
Analysis of corneal subbasal nerve fiber length in mosaic image series acquired by guided eye movements
Allgeier, S.; Winter, K.; Bretthauer, G.; Guthoff, R. R.; Peschel, S.; Reichert, K.-M.; Stachs, O.; Köhler, B.
2016. Biomedizinische Technik, 61 (Suppl.1), 148. doi:10.1515/bmt-2016-5013
Analysis of corneal subbasal nerve fiber length in mosaic image series acquired by guided eye movements
Allgeier, S.; Winter, K.; Bretthauer, G.; Guthoff, R. R.; Peschel, S.; Reichert, K.-M.; Stachs, O.; Köhler, B.
2016. „Dreiländertagung“ of Biomedical Engineering, Basel, CH, October 4-6, 2016
A framework for feedback-based segmentation of 3D image stacks
Stegmaier, J.; Peter, N.; Portl, J.; Mang, I. V.; Schröder, R.; Leitte, H.; Mikut, R.; Reischl, M.
2016. Current directions in biomedical engineering, 2 (1), 437–441
Semi-automated detection of fractional shortening in zebrafish embryo heart videos
Nasrat, S.; Marcato, D.; Hirth, S.; Reischl, M.; Pylatiuk, C.
2016. Current directions in biomedical engineering, 2 (1), 233–236. doi:10.1515/cdbme-2016-0052
BISHOP - big data driven self-learning support for high-performance ontology population
Knöll, D.; Atzmueller, M.; Rieder, C.; Scherer, K.-P.
2016. Proceedings of the Conference ’Lernen, Wissen, Daten, Analysen (LWDA), Potsdam, September 12-14, 2016. Ed.: R. Krestel, 157–164
BISHOP - big data driven self-learning support for high-performance ontology population
Knöll, D.; Atzmueller, M.; Rieder, C.; Scherer, K.-P.
2016. Lernen. Wissen. Daten. Analysen (LWDA), Potsdam, 12.-14.September 2016
Enhancing image analysis pipelines with uncertainty treatment
Stegmaier, J.; Mikut, R.
2016. Imaging and Feature Recognition meet Computer Vision : Helmholtz Networking Workshop, Leipzig, September 20-21, 2016
EyeGuidance - a computer controlled system to guide eye movements
Köhler, B.; Bretthauer, G.; Guthoff, R. F.; Reichert, K.-M.; Sieber, I.; Stachs, O.; Toso, L.; Allgeier, S.
2016. Current directions in biomedical engineering, 2 (1), 433–436. doi:10.1515/cdbme-2016-0096
EyeGuidance - a computer controlled system to guide eye movements
Köhler, B.; Bretthauer, G.; Guthoff, R. F.; Reichert, K.-M.; Sieber, I.; Stachs, O.; Toso, L.; Allgeier, S.
2016. „Dreiländertagung“ of Biomedical Engineering, Basel, CH, October 4-6, 2016
Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016
Hoffmann, F.; Hüllermeier, E.; Mikut, R. (Eds.)
2016. KIT Scientific Publishing. doi:10.5445/KSP/1000060007
Process optimization for injection moulding of passive microwave compounds
Scholz, S. G.; Mueller, T.; Santos Machado, L.; Calaon, M.; Tosello, G.; Dessors, S.; Pranti, M.; Miller, N.
2016. 4M/IWMF2016 Conference, Lyngby, DK, September 13-15, 2016
Process optimization for injection moulding of passive microwave compounds
Scholz, S. G.; Mueller, T.; Santos Machado, L.; Calaon, M.; Tosello, G.; Dessors, S.; Pranti, M.; Miller, N.
2016. Proceedings of the 4M/IWMF2016 Conference, Lyngby, DK, September 13-15, 2016. Ed.: G. Tosello, Research Publishing. doi:10.3850/978-981-11-0749-8_743
I-CARE: Ein Tablet-PC zur individuellen Aktivierung von Menschen mit Demenz im häuslichen Einsatz
Lohse, J.; Glesing, K.; Simon, C.; Adam, M.; Fischer, M.; Depner, A.; Kruse, A.; Franz, I.; Schultz, T.; Putze, F.; Schulze, T.; Mikut, R.; Doneit, W.; Engels, M. A.; Gaerte, P.; Bothe, D.; Ziegler, C.; Maucher, I.; Ricken, M.; Dimitrov, T.; Herzig, J.; Bernardin, K.; Gehrig, T.
2016. Leben und Altern - Funktionalität und Qualität : Gerontologie und Geriatrie Kongress 2016, Stuttgart, 7,-10.September 2016
IT-Security: Definition von Security-Zielen. Sicherheit - administrativ organisatorisch vers konstruktiv
Keller, H. B.
2016. 2.Berliner Gesamtkonferenz der Sicherheitsinstitutionen in Deutschland, Berlin, 2.September 2016
Development and characterization of functional polymer-ceramic composite structures using fused deposition modeling
Khatri, B.; Lappe, K.; Habedank, M.; Mueller, T.; Megnin, C.; Hanemann, T.
2016. Proceedings of the 4M/IWMF2016 Conference, Lyngby, DK, September 13-15, 2016. Ed.: G. Tosello, 251–254, Research Publishing
Development and characterization of functional polymer-ceramic composite structures using fused deposition modeling
Khatri, B.; Lappe, K.; Habedank, M.; Mueller, T.; Megnin, C.; Hanemann, T.
2016. 4M/IWMF2016 Conference, Lyngby, DK, September 13-15, 2016
LUPO mobil - Konzepte und technologische Einblicke in die App ’meine Umwelt’
Kimmig, D.; Schillinger, W.; Schlachter, T.; Düpmeier, C.; Hibbeler, C.; Koch, L.; Weissenbach, K.
2016. 23.Workshop des Arbeitskreises ’Umweltinformationssysteme’ der Fachgruppe ’Informatik im Umweltschutz’ der Gesellschaft für Informatik, Leipzig, 1.-2.Juni 2016
Photovoltaic power forecasting using simple data-driven models without weather data
González Ordiano, J. Á.; Waczowicz, S.; Reischl, M.; Mikut, R.; Hagenmeyer, V.
2016. Computer Science - Research and Development, 32 (1-2), 237–246. doi:10.1007/s00450-016-0316-5
Dysferlin-mediated phosphatidylserine sorting engages macrophages in sarcolemma repair
Middel, V.; Zhou, L.; Takamiya, M.; Beil, T.; Shahid, M.; Roostalu, U.; Grabher, C.; Rastegar, S.; Reischl, M.; Nienhaus, G. U.; Strähle, U.
2016. Nature Communications, 7, 12875. doi:10.1038/ncomms12875
Automated phenotype pattern recognition of zebrafish for high-throughput screening
Schutera, M.; Dickmeis, T.; Mione, M.; Peravali, R.; Marcato, D.; Reischl, M.; Mikut, R.; Pylatiuk, C.
2016. Bioengineered, 7 (4), 261–265. doi:10.1080/21655979.2016.1197710
Big Data & Automatisierung (Editorial)
Mikut, R.
2016. Automatisierungstechnik, 64 (7), 503–506. doi:10.1515/auto-2016-0086
Analyse und Entwurf von Beobachtern mit unbekannten Signalen und Parametern. PhD dissertation
Irle, J. P.
2016. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000058621
Optical performance simulation of free-form optics for an eye implant based on a measurement data enhanced model
Sieber, I.; Li, L.; Gengenbach, U.; Beckert, E.; Steinkopf, R.; Yi, A. Y.
2016. Applied optics, 55 (24), 6671–6679. doi:10.1364/AO.55.006671
Requirements for 3D printed applications using novel nanoparticle enhanced digital materials
Brunet, A.; Müller, T.; Scholz, S.; Fuchsbauer, A.
2016. 9th International Conference on Advances in Circuits, Electronics and Micro-electronics (CENICS 2016), Nice, F, July 24-28, 2016. Ed.: S.G. Scholz, 31–34, International Academy, Research, and Industry Association (IARIA)
Requirements for 3D printed applications using novel nanoparticle enhanced digital materials
Brunet, A.; Müller, T.; Scholz, S.; Fuchsbauer, A.
2016. 9th International Conference on Advances in Circuits, Electronics and Micro-electronics (CENICS 2016), Nice, F, July 24-28, 2016
Novel nanoparticle enhanced digital materials for 3D printing and their application shown for the robotic and electronic industry
Scholz, S.; Brunet, A.; Müller, T.; Fuchsbauer, A.
2016. 9th International Conference on Advances in Circuits, Electronics and Micro-electronics (CENICS 2016), Nice, F, July 24-28, 2016
Novel nanoparticle enhanced digital materials for 3D printing and their application shown for the robotic and electronic industry
Scholz, S.; Brunet, A.; Müller, T.; Fuchsbauer, A.
2016. 9th International Conference on Advances in Circuits, Electronics and Micro-electronics (CENICS 2016), Nice, F, July 24-28, 2016. Ed.: S.G. Scholz, 27–30, International Academy, Research, and Industry Association (IARIA)
Keynote: Industry 4.0
Scholz, S. G.
2016. 12th International Conference on Networking and Services (ICNS), Lisboa, P, June 26-30, 2016
(Self)control of energy systems: Challenges and optimization
Scholz, S. G.
2016. 12th International Conference on Networking and Services (ICNS), Lisboa, P, June 26-30, 2016
Society progress and quantum technology: Quo vadis?
Scholz, S. G.
2016. 9th International Conference on Advances in Circuits, Electronics and Micro-electronics (CENICS 2016), Nice, F, July 24-28, 2016
Trends in nano/micro technologies
Brunet, A.
2016. 9th International Conference on Advances in Circuits, Electronics and Micro-electronics (CENICS 2016), Nice, F, July 24-28, 2016
Data management services for energy lab 2.0
Süß, W.; Schumilin, A.; Braun, E.; Stucky, K.-U.
2016. Programmtreffen Supercomputing and Big Data der Helmholtz-Gemeinschaft, Karlsruhe, 30.Juni - 1.Juli 2016
STREAMER early design configurator - a tool for automatic layout generation
Hempel, S.; Benner, J.; Geiger, A.; Häfele, K.-H.
2016. Central Europe towards Sustainable Building 2016 (CESB16), Praha, CZ, June 22-24, 2016. Ed.: P. Hajek, Grada Publishing
STREAMER early design configurator - a tool for automatic layout generation
Hempel, S.; Benner, J.; Geiger, A.; Häfele, K.-H.
2016. Central Europe towards Sustainable Building 2016 (CESB16), Praha, CZ, June 22-24, 2016
Context-sensitive auto-completion for searching with entities and categories
Schmidt, A.; Milchevski, D.; Hoffart, J.; Weikum, G.
2016. Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, Pisa, I, July 17-21, 2016, 1097–1100, Association for Computing Machinery (ACM)
Context-sensitive auto-completion for searching with entities and categories
Schmidt, A.; Milchevski, D.; Hoffart, J.; Weikum, G.
2016. 39th International ACM SIGIR conference on Research and Development in Information Retrieval, Pisa, I, July 17-21, 2016
Maximal islanding time for microgrids via distributed predictive control
Braun, P.; Faulwasser, T.; Grüne, L.; Kellett, C. M.; Weller, S., R.; Worthmann, K.
2016. Proceedings of the 22nd International Symposium on Mathematical Theory of Networks and Systems, Minneapolis, MN, July 11-15, 2016, 652–659, University of Minnesota
Maximal islanding time for microgrids via distributed predictive control
Braun, P.; Faulwasser, T.; Grüne, L.; Kellett, C. M.; Weller, S., R.; Worthmann, K.
2016. 22nd International Symposium on Mathematical Theory of Networks and Systems, Minneapolis, MN, July 11-15, 2016
Application driven advances in additive manufacturing
Scholz, S.
2016. 9th International Conference on Advances in Circuits, Electronics and Micro-electronics (CENICS 2016), Nice, F, July 24-28, 2016
A cost model for SMARTLAM
Dobler, M.; Gourlay, J.; Scholz, S.; Schmidt, A.
2016. 9th International Conference on Advances in Circuits, Electronics and Micro-electronics (CENICS 2016), Nice, F, July 24-28, 2016. Ed.: S.G. Scholz, 16–21, International Academy, Research, and Industry Association (IARIA)
A cost model for SMARTLAM
Dobler, M.; Gourlay, J.; Scholz, S.; Schmidt, A.
2016. 9th International Conference on Advances in Circuits, Electronics and Micro-electronics (CENICS 2016), Nice, F, July 24-28, 2016
Mobile sensor system for alcohol control and numerical signal analysis
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2016. 7th International Conference on Sensor Device Technologies and Applications (SensorDevices 2016), Nice, F, July 24-28, 2016. Ed.: S. H. Yurish, 10–14, International Academy, Research, and Industry Association (IARIA)
Mobile sensor system for alcohol control and numerical signal analysis
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2016. 7th International Conference on Sensor Device Technologies and Applications (SensorDevices 2016), Nice, F, July 24-28, 2016
Output feedback model predictive control with probabilistic uncertainties for linear systems
Mühlpfordt, T.; Paulson, J. A.; Braatz, R. D.; Findeisen, R.
2016. Proceedings of the American Control Conference 2016, Boston, MA, July 6-8, 2016, 2035–2040, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ACC.2016.7525218
Output feedback model predictive control with probabilistic uncertainties for linear systems
Mühlpfordt, T.; Paulson, J. A.; Braatz, R. D.; Findeisen, R.
2016. American Control Conference 2016, Boston, MA, July 6-8, 2016
DBKDA 2016 : 8th International Conference on Advances in Databases, Knowledge, and Data Applications, Lisboa, P, June 26-30, 2016
Laux, F.; Schmidt, A.; Hristovski, D. (Eds.)
2016. International Academy, Research, and Industry Association (IARIA)
Camera based identification and control of the Waelz process
Matthes, J.; Waibel, P.; Keller, H. B.; Gröll, L.
2016. INCINCO 2016 : 13th International Conference on Informatics in Control, Automation and Robotics, Lisboa, P, July 29.31, 2016. Proceedings Vol.1. Ed.: O. Gusikhin, 291–298, SciTePress
Camera based identification and control of the Waelz process
Matthes, J.; Waibel, P.; Keller, H. B.; Gröll, L.
2016. 13th International Conference on Informatics in Control, Automation and Robotics (INCINCO 2016), Lisboa, P, July 29.31, 2016
Mobile sensor system for breath control: Thermo-cyclic operation and numerical signal analysis
Seifert, R.; Keller, H. B.; Conrad, T.; Peter, J.
2016. 16th International Meeting on Chemical Sensors (IMCS 2016), Jeju, Korea, July 10-13, 2016
Bildbasierte Überwachung und Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern
Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, H. B.
2016. 5. Jahrestagung des KIT-Zentrums Energie, Blick nach Vorne - Energiesystem 2050, Karlsruhe, 15.Juni 2016
Generierung eines CityGML Gebäudemodells des KIT Campus Nord
Geiger, A.; Hepp, S.; Ott, T.; Häfele, K.-H.
2016. 64.Deutscher Kartographentag (Geoinfo 2016), Potsdam, 14.-16.Juni 2016
Graph storage considerations
Schmidt, A.
2016. 3rd International Workshop on Large-scale Graph Storage and Management (GraphSM 2016), Lisboa, P, June 26-30, 2016
SESCL - Smart Energy System Control Laboratory
Isele, J.
2016. 5. Jahrestagung des KIT-Zentrums Energie, Blick nach Vorne - Energiesystem 2050, Karlsruhe, 15.Juni 2016
Titannitrid: goldglänzend und elektrisch leitfähig, aber steinhart
Nau, K.; Paul, F.
2016. Hessen-Nanotech News, 2016 (1), 12–13
Kamerainspektionssystem für tiefe Geothermiebrunnen (GeoKam)
Isele, J.; Spatafora, L.; Wiegel, F.; Holbein, B.
2016. Technische Informationsbibliothek (TIB)
Automation strategies for large-scale 3D image analysis
Stegmaier, J.; Schott, B.; Hübner, E.; Traub, M.; Shahid, M.; Takamiya, M.; Kobitski, A.; Hartmann, V.; Stotzka, R.; Van Wezel, J.; Streit, A.; Nienhaus, G. U.; Strähle, U.; Reischl, M.; Mikut, R.
2016. Automatisierungstechnik, 64 (7), 555–566. doi:10.1515/auto-2016-0019
New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty. PhD dissertation
Stegmaier, J.
2016. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000057821
Hot-embossing replication of self-centering optical fiber alignment structures prototyped by deep proton writing
Ebraert, E.; Wissmann, M.; Guttmann, M.; Kolew, A.; Worgull, M.; Barie, N.; Schneider, M.; Hofmann, A.; Beri, S.; Watte, J.; Thienpont, H.; Van Erps, J.
2016. Optical engineering, 55 (7), Art. Nr. 076112. doi:10.1117/1.OE.55.7.076112
Robust model for biosignal-based personalisation of cancer chronotherapy
Schott, B.; Stegmaier, J.; Arbaud, A.; Reischl, M.; Mikut, R.; Levi, F.
2016. Summer UK Clock Club, Warwick, GB, July 4, 2016
Real-time optimization based on adaptation of surrogate models
Singhal, M.; Marchetti, A. G.; Faulwasser, T.; Bonvin, D.
2016. 11th IFAC Symposium on Dynamics and Control of Process Systems, Including Biosystems (DYCOPS-CAB 2016), Trondheim, N, June 6-8, 2016
An knowledge based educational system for ophthalmic surgeons
Scherer, K. P.; Knoell, D.; Rieder, C.; Baumeister, J.; Furth, S.
2016. IJAS International Academic Conference, Venezia, I, June 28 - July 1, 2016
Robust individual circadian parameter estimation for biosignal-based personalisation of cancer chronography
Schott, B.; Stegmaier, J.; Arbaud, A.; Reischl, M.; Mikut, R.; Levi, F.
2016. Workshop Biosignalverarbeitung 2016 : Innovationen bei der Erfassung und Analyse bioelektrischer und biomagnetischer Signale, Berlin, 7-.8.April 2016, 67–70, PTB
Robust individual circadian parameter estimation for biosignal-based personalisation of cancer chronography
Schott, B.; Stegmaier, J.; Arbaud, A.; Reischl, M.; Mikut, R.; Levi, F.
2016. Workshop Biosignalverarbeitung 2016, Berlin, 7.8.April 2016
Vorwort 2016
Bretthauer, G.
2016. Automatisierungstechnik, 64 (1), 1–2. doi:10.1515/auto-2015-0093
Heat exchanger for down-hole condensation process
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.; Schulenberg, T.
2016. 40th Geothermal Research Council Annual Meeting, Sacramento, CA, October 23-26, 2016
Stand der Weiterentwicklung und Umsetzung des Standards XPlanung in Deutschland
Krause, K.-U.; Krätschmer, R.; Benner, J.
2016. REAL CORP 2016. 21st International Conference on Urban Planning,Regional Development and Information Society, Hamburg, 22.-24.06.2016. Ed.: M. Schrenk, 679–688, CORP
Virtual 3D city model support for energy demand simulations on city level - The CityGML energy extension
Benner, J.; Geiger, A.; Häfele, K.-H.
2016. REAL CORP 2016. 21st International Conference on Urban Planning,Regional Development and Information Society, Hamburg, 22.-24.06.2016. Ed.: M. Schrenk, 777–786, CORP
Generating semi-synthetic validation benchmarks for embryomics
Stegmaier, J.; Arz, J.; Schott, B.; Otte, J. C.; Kobitski, A.; Nienhaus, G. U.; Strähle, U.; Sanders, P.; Mikut, R.
2016. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016), Prag, CZ, 13.-16.04.2016, 684–688, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISBI.2016.7493359
An introduction into statistical computing and natural language processing with R
Schmidt, A.; Scholz, S.
2016. 8th International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2016, Lisbon, P, June 26-30, 2016
Semantic Suggestions in Information Retrieval
Schmidt, A.
2016. 8th International Conference on Advances in Databases, Knowledge, and Data Applications, DBKDA 2016, Lisbon, P, June 26-30, 2016
A service oriented IT architecture and its core components for the Energiewende
Braun, E.; Liu, J.; Düpmeier, C.; Stucky, K. U.
2016. 5. Jahrestagung des KIT-Zentrums Energie, Blick nach Vorne - Energiesystem 2050, Karlsruhe, 15.Juni 2016
Data-driven photovoltaic power forecasting
Gonzalez Ordiano, J. A.; Waczowicz, S.; Reischl, M.; Mikut, R.; Hagenmeyer, V.
2016. 5. Jahrestagung des KIT-Zentrums Energie, Blick nach Vorne - Energiesystem 2050, Karlsruhe, 15.Juni 2016
Numerische Signalanalyse von Messdaten zur Brandfrüherkennung
Seifert, R.; Keller, H. B.
2016. 3. Fachsymposium Hybrid Sensor Net, Karlsruhe, 01.07.2016
Rumen derived antimicrobials as a solution to evolving and persistent clinical infections
Oyama, L. B.; Girdwood, S. E.; Cookson, A.; Fernandez-Fuentes, N.; Edwards, J. E.; Golyshin, P.; Golyshina, O.; Prive, F.; Mikut, R.; Hilpert, K.; Creevey, C. J.; Huws, S. A.
2016. INRA-ROWETT 2016, Gut Microbiology Symposium, Clemont, F, June 20-23, 2016
Increasing the field of view in grating based X-ray phase contrast imaging using stitched gratings
Meiser, J.; Willner, M.; Schröter, T.; Hofmann, A.; Rieger, J.; Koch, F.; Birnbacher, L.; Schüttler, M.; Kunka, D.; Meyer, P.; Faisal, A.; Amberger, M.; Duttenhofer, T.; Weber, T.; Hipp, A.; Ehn, S.; Walter, M.; Herzen, J.; Schulz, J.; Pfeiffer, F.; Mohr, J.
2016. Journal of X-Ray Science and Technology, 24 (3), 379–388. doi:10.3233/XST-160552
Steer by ear: Myoelectric auricular control of powered wheelchairs for individuals with spinal cord injury
Schmalfuß, L.; Rupp, R.; Tuga, M. R.; Kogut, A.; Hewitt, M.; Meincke, J.; Klinker, F.; Duttenhoefer, W.; Eck, U.; Mikut, R.; Reischl, M.; Liebetanz, D.
2016. Restorative Neurology and Neuroscience, 34 (1), 79–95. doi:10.3233/RNN-150579
Path following - on tailored normal forms and NMPC design
Faulwasser, T.
2016. Universität Freiburg, 11.Mai 2016
Nano inside and outside - informing the public on safety aspects of nanomaterials - from experts to laypersons
Nau, K.; Bohmer, N.; Krug, H.; Kuehnel, D.; Marquardt, C.; Paul, F.; Steinbach, C.
2016. 8th International Nanotoxicology Congress (nanoTOX 2016), Boston, MA, June 1-4, 2016
Supporting risk assessment of nanomaterials with quality-approved information. DaNa literature criteria checklist
Marquardt, C.; Bohmer, N.; Krug, H. F.; Kuehnel, D.; Paul, F.; Steinbach, C.; Nau, K.
2016. 8th International Nanotoxicology Congress (nanoTOX 2016), Boston, MA, June 1-4, 2016
Novel nano inks for additive manufacturing. Establishing nano safety risk management concepts in 3D printing
Scholz, S.; Nau, K.
2016. 8th International Nanotoxicology Congress (nanoTOX 2016), Boston, MA, June 1-4, 2016
Quantitative analysis of central corneal sub-basal inflammatory cells and dendritic cells in large-area mosaic images obtained by in vivo confocal microscopy
Badian, R. A.; Utheim, T. P.; Allgeier, S.; Köhler, B.; Lagali, N.
2016. ARVO 2016 Annual Meeting, Seattle, WA, May 1-5, 2016
Analysis of corneal subbasal nerve plexus from wide-area mosaics in healthy subjects and in type 2 diabetics
Lagali, N.; Allgeier, S.; Guimaraes, P.; Badian, R.; Ruggeri, A.; Köhler, B.; Utheim, T. P.; Peebo, B.; Peterson, M.; Dahlin, L.; Rolandsson, O.
2016. ARVO 2016 Annual Meeting, Seattle, WA, May 1-5, 2016
TELMYOS - a feasibility study of a telemetric wheelchair control interface based on the bilateral recording of myoelectric signals from ear muscles
Rupp, R.; Schmalfuß, L.; Tuga, M.; Kogut, A.; Hewitt, M.; Eck, U.; Mikut, R.; Reischl, M.; Liebetanz, D.
2016. ASIA 2016 Annual Scientific Meeting, Philadelphia, PA, April 13-16, 2016
How should the completeness and quality of curated nanomaterial data be evaluated
Marchese Robinson, R. L.; Lynch, I.; Peijnenburg, W.; Rumble, J.; Klaessig, F.; Marquardt, C.; Rauscher, H.; Puzyn, T.; Purian, R.; Aberg, C.; Karcher, S.; Vriens, H.; Hoet, P., Hoover, Mark D.; Ogilvie Hendren, C.; Harper, S. L.
2016. Nanoscale, 8 (19), 9919–9943. doi:10.1039/C5NR08944A
Steer by ear - Vergleichsstudie zur Steuerung eines Elektrorollstuhls mittels zweier oberflächlich gemessener Aktivierungsmuster der Ohrmuskulator
Eck, U.; Kogut, A.; Tuga, M. R.; Doneit, W.; Schmalfuß, L.; Liebetanz, D.; Reischl, M.; Rupp, R.
2016. Inklusion von Menschen mit Querschnittlähmung: eine multiprofessionelle Herausforderung : 29.Jahrestagung der Deutschsprachigen Medizinischen Gesellschaft für Paraplegie e.V., Hamburg, 25.-28.Mai 2016
Robust Design of an Optical Micromachine for an Ophthalmic Application
Sieber, I.; Martin, T.; Gengenbach, U.
2016. Micromachines, 7 (5), 85. doi:10.3390/mi7050085
Activation of YAP signaling is necessary for progression from Heterotopia to brain tumor
Mayrhofer, M.; Gourain, V.; Reischl, M.; Affaticati, P.; Jenett, A.; Joly, J.-S.; Sieger, D.; Mione, M.
2016. 4th European Zebrafish Principal Investigator Meeting (EZPM), Lisboa, P, March 15-19, 2016
Real-time optimization of a solid oxide fuel cell system with reformer
Avila Ferreira, T. de; Marchetti, A. G.; Faulwasser, T.; Wuillemin, Z.; Au, S. F.; Nakajo, A.; Van herle, J.; Bonvin, D.
2016. 13th Symposium on Modeling and Experimental Validation of Fuel Cells, Batteries and Electrolysers (MODVAL 13), Lausanne, CH, March 22-23, 2016
Extrusion printing process for the manufacturing of electrodes on planar and curved substrates
Ungerer, M.; Maurer, V.; Hofmann, A.; Gengenbach, U.
2016. Internationale Fachmesse und Kongress für gedruckte Elektronik (LOPEC 2016), München, 5.-7.April 2016
Wissensgenerierung durch Selbstlernen mit strukturierten Katarakt-Daten
Scherer, K. P.; Germann, M.; Knoell, D.; Baumeister, J.; Furth, S.
2016. 57.Tagung der Österreichischen Ophthalmologischen Gesellschaft, Schladming, A, 5.-7.Mai 2016
Wissensgenerierung durch Selbstlernen mit strukturierten Katarakt-Daten
Scherer, K. P.; Germann, M.; Knoell, D.; Baumeister, J.; Furth, S.
2016. Spektrum der Augenheilkunde, 30 (2), 90. doi:10.1007/s00717-016-0295-8
Monitoring the drying and grinding process during production of celitement through a NIR-spectroscopy based approach
Lutz, C.; Matthes, J.; Waibel, P.; Precht, U.; Garbev, K.; Beuchle, G.; Schweike, U.; Stemmermann, P.; Keller, H. B.
2016. 18th International Conference on Optics, Lasers and Spectroscopy (ICOLS 2016), Paris, F, September 26-27, 2016
Investigation and mathematical modelling of the impact of incentive signals to consumers on their consumption, load forecast and network operation
Konotop, I.; Klaiber, S.; Waczowicz, S.; Bretschneider, P.; Mikut, R.; Westermann, D.
2016. IET generation, transmission and distribution, 10 (9), 2138–2146. doi:10.1049/iet-gtd.2015.1175
Automated image analysis of in vivo processes in model organisms - design of analysis pipelines, software, and applications
Mikut, R.; Stegmaier, J.; Pylatiuk, C.; Reischl, M.
2016. 7th Annual Meeting of the EFOR Network, Gif-Sur-Yvette, F, March 7-8, 2016
Nonlinear model predictive control for constrained output path following
Faulwasser, T.; Findeisen, R.
2016. IEEE Transactions on Automatic Control, 61 (4), 1026–1039. doi:10.1109/TAC.2015.2466911
Modeling and optimal control of a redox flow battery coupled with hydrogen generation
Wrang, D.; Faulwasser, T.; Billeter, J.; Amstutz, V.; Vrubel, H.; Battistel, A.; Girault, H.; Bonvin, D.
2016. 13th Symposium on Modeling and Experimental Validation of Fuel Cells, Batteries and Electrolysers (MODVAL 13), Lausanne, CH, March 22-23, 2016
The GeoKam - A tool for video inspection in hot deep geothermal boreholes
Spatafora, L.; Isele, J.; Holbein, B.; Hagenmeyer, V.
2016. 41st Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 22-24, 2016. Proceedings on CD-ROM, SGP-TR-209
The GeoKam - a tool for video inspections in hot deep geothermal boreholes
Spatafora, L.; Isele, J.; Holbein, B.
2016. 42nd Workshop on Geothermal Reservoir Engineering (2017), San Jose, CA, USA, February 13–15, 2017
Multi-Chip Integration by Photonic Wire Bonding: Connecting Surface and Edge Emitting Lasers to Silicon Chips
Hoose, T.; Billah, M.; Marin, P.; Blaicher, M.; Dietrich, P. I.; Hofmann, A.; Troppenz, U.; Möhrle, M.; Lindenmann, N.; Thiel, M.; Simon, P.; Hoffmann, J.; Goedecke, M. L.; Freude, W.; Koos, C.
2016. OSA Technical Digest: Optical Fiber Communication Conference, Anaheim, California, March 20-22,2016, Art.Nr. 7537230, Optica Publishing Group (OSA). doi:10.1364/OFC.2016.M2I.7
Zebrafish biosensor for toxicant induced muscle hyperactivity
Shahid, M.; Takamiya, M.; Stegmaier, J.; Middel, V.; Gradl, M.; Klüver, N.; Mikut, R.; Dickmeis, T.; Scholz, S.; Rastegar, S.; Yang, L.; Strähle, U.
2016. Scientific Reports, 6, Art.Nr. 23768. doi:10.1038/srep23768
Data-based models for photovoltaic power forecasting with the Ausgrid solar home electricity data as example
Gonzalez, J. A.
2016. Mathematics of the Energy Transition : 2nd Winter School of the Graduate Center MSE, Ohlstadt, February 29 - March 4, 2016
Detection and visual inspection of highly obfuscated plagiarisms
Schmidt, A.; Bühler, S.; Senger, R.; Scholz, S.; Dickerhof, M.
2016. Proceedings of the 49th Annual Hawaii International Conference on System Sciences (HICSS-49), Kauai, Hawaii, January 5-8, 2016. Ed.: T.X. Bui, 4113–4122, IEEE Computer Society. doi:10.1109/HICSS.2016.510
Detection and visual inspection of highly obfuscated plagiarisms
Schmidt, A.; Bühler, S.; Senger, R.; Scholz, S.; Dickerhof, M.
2016. 49th Hawaii International Conference on System Sciences (HICSS-49), Kauai, Hawaii, January 5-8, 2016
Anti-MRSA activity of novel antimicrobial peptides identified from cow metagenome
Oyama, L. B.; Girdwood, S. E.; Cookson, A.; Fernandez-Fuentes, N.; Prive, F.; Edwards, J. E.; Golyshin, P.; Golyshina, O.; Mikut, R.; Hilpert, K.; Hess, M.; Creeveyand, C.; Huws, S. A.
2016. New Antibacterial Discovery and Development : Gordon-Kenan Research Seminar, Lucca, I, March 12-13, 2016
The DaNa2.0 knowledge base nanomaterials - quality approved and easy-to-understand information on current nanosafety research
Marquardt, C.; Krug, H. F.; Kuehnel, D.; Paul, F.; Steinbach, C.; Nau, K.
2016. 82.Jahrestagung der Deutschen Gesellschaft für experimentelle und klinische Pharmakologie und Toxikologie (DGPT) und 18.Jahrestagung der Klinischen Pharmakologie (VKliPha) in Zusammenarbeit mit der AGAH, Berlin, 20.Februar - 3.März 2016
Heating and cooling with geothermal energy. Heat management in an experimental holistic energy grid
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2016. 41st Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 22-24, 2016. Proceedings on CD-ROM, SGP-TR-209
Heating and cooling with geothermal energy. Heat management in an experimental holistic energy grid
Holbein, B.; Isele, J.; Spatafora, L.; Hagenmeyer, V.
2016. 42nd Workshop on Geothermal Reservoir Engineering (2017), San Jose, CA, USA, February 13–15, 2017
Small angle X-ray scattering as a high-throughput method to classify antimicrobial modes of action
Gundlach, A. R. von; Garamus, V. M.; Gorniak, T.; Davies, H. A.; Reischl, M.; Mikut, R.; Hilpert, K.; Rosenhahn, A.
2016. Biochimica et Biophysica Acta - Biomembranes, 1858 (5), 918–925. doi:10.1016/j.bbamem.2015.12.022
Improving short antimicrobial peptides despite elusive rules for activity
Mikut, R.; Ruden, S.; Reischl, M.; Breitling, F.; Volkmer, R.; Hilpert, K.
2016. Biochimica et Biophysica Acta - Biomembranes, 1858 (5), 1024–1033. doi:10.1016/j.bbamem.2015.12.013
A high-speed camera based approach for the on-line analysis of particles in multi-fuel burner flames
Matthes, J.; Hock, J.; Waibel, P.; Scherrmann, A.; Gehrmann, H.-J.; Keller, H. B.
2016. Experimental Thermal and Fluid Science, 73, 10–17. doi:10.1016/j.expthermflusci.2015.08.017
A modular flexible scalable and reconfigurable system for manufacturing of Microsystems based on additive manufacturing and e-printing
Scholz, S.; Mueller, T.; Plasch, M.; Limbeck, H.; Adamietz, R.; Iseringhausen, T.; Kimmig, D.; Dickerhof, M.; Woegerer, C.
2016. Robotics and computer integrated manufacturing, 40, 14–23. doi:10.1016/j.rcim.2015.12.006
Virtual storages as theoretically motivated demand response models for enhanced smat grid operations
Waczowicz, S.; Reischl, M.; Klaiber, S.; Bretschneider, P.; Konotop, I.; Westermann, D.; Hagenmeyer, V.; Mikut, R.
2016. Energy technology, 4 (1), 163–176. doi:10.1002/ente.201500318
Local Variability of Parameters for Characterization of the Corneal Subbasal Nerve Plexus
Winter, K.; Scheibe, P.; Köhler, B.; Allgeier, S.; Guthoff, R. F.; Stachs, O.
2016. Current eye research, 41 (2), 186–198. doi:10.3109/02713683.2015.1010686
XPIWIT : An XML pipeline wrapper for the Insight Toolkit
Bartschat, A.; Hübner, E.; Reischl, M.; Mikut, R.; Stegmaier, J.
2016. Bioinformatics, 32 (2), 315–317. doi:10.1093/bioinformatics/btv559
Real-Time Three-Dimensional Cell Segmentation in Large-Scale Microscopy Data of Developing Embryos
Stegmaier, J.; Amat, F.; Lemon, W. C.; Teodoro, G.; Mikut, R.; Keller, P. J.
2016. Developmental Cell, 36 (2), 225–240. doi:10.1016/j.devcel.2015.12.028
Sympathetic innervation controls homeostasis of neuromuscular junctions in health and disease
Khan, M. M.; Lustrino, D.; Silveira, W. A.; Wild, F.; Straka, T.; Issop, Y.; O’Connor, E.; Cox, D.; Reischl, M.; Marquardt, T.; Labeit, D.; Labeit, S.; Benoit, E.; Molgo, J.; Lochmüller, H.; Witzemann, V.; Kettelhut, I. C.; Navegantes, L. C. C.; Pozzan, T.; Rudolf, R.
2016. Proceedings of the National Academy of Sciences of the United States of America, 113 (3), 746–750. doi:10.1073/pnas.1524272113
Information and communication technology in energy lab 2.0: Smart energies system simulation and control center with an open-street-map-based power flow simulation example
Hagenmeyer, V.; Cakmak, H. K.; Düpmeier, C.; Faulwasser, T.; Isele, J.; Keller, H. B.; Kohlhepp, P.; Kühnapfel, U.; Stucky, U.; Waczowicz, S.; Mikut, R.
2016. Energy Technology, 4 (1), 145–162. doi:10.1002/ente.201500304
Optimization of oncocin for antibacterial activity using a SPOT synthesis approach: Extending the pathogen spectrum to Staphylococcus aureus
Knappe, D.; Ruden, S.; Langanke, S.; Tikkoo, T.; Ritzer, J.; Mikut, R.; Martin, L. L.; Hoffmann, R.; Hilpert, K.
2016. Amino Acids, 48 (1), 269–280. doi:10.1007/s00726-015-2082-2
The nucleotide excision repair protein XPC is essential for bulky DNA adducts to promote interleukin-6 expression via the activation of p38-SAPK
Schreck, I.; Grico, N.; Hansjosten, I.; Marquardt, C.; Bormann, S.; Seidel, A.; Kvietkova, D. L.; Pieniazek, D.; Segerbäck, D.; Diabate, S.; Van Der Horst, G. T. J.; Oesch-Bartlomowicz, B.; Oesch, F.; Weiss, C.
2016. Oncogene, 35 (7), 908–918. doi:10.1038/onc.2015.145
2015
Authentication and key agreement scheme for CDMA cellular system
Ramadan, M.; Fagen Li; Chun Xiang Xu; Oteng, K.; Ibrahim, H.
2015. 2015 IEEE International Conference on Communication Software and Networks (ICCSN), Chengdu, China, 06-07 June 2015, 118–124, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCSN.2015.7296138
A taxonomy of secure electronic English auction protocols
Wahaballa, A.; Qin, Z.; Xiong, H.; Qin, Z.; Ramadan, M.
2015. International Journal of Computers and Applications, 37 (1), 28–36. doi:10.1080/1206212X.2015.1063248
A Study of a various Acoustic Beamforming Techniques Using a Microphone Array
Abdalla, A.; Mohammed, S.; Abdalla, A.; Bin, T.; Ramadan, M.; Peiyu, H.
2015. Journal of Communications Technology, Electronics and Computer Science (JCTECS), 2015 (1), 7–11. doi:10.22385/jctecs.v1i0.3
An Improved Radar ECCM Method Based on Orthogonal Pulse Block and Parallel Matching Filter
Abdalla, A.; Yuan, Z.; Ramadan, M.; Bin, T.
2015. Journal of Communications, 10 (8), 610–614. doi:10.12720/jcm.10.8.610-614
Competence mapping of the 4M project cluster advanced manufacturing of multi-material, multi-functional products
Anson, S.; Brunet, A.; Schmidt, A.; Dimov, S.; Gardner, D.; Gavillet, J.
2015. Smart Systems Integration 2015: 9th International Conference and Exhibition on Integration Issues of Miniaturized Systems: MEMS, NEMS, ICs and Electronic Components (SSI 2015), 11-12 March 2015, Copenhagen, 195–201, Apprimus Wissenschaftsverlag
HySeP Statusbericht
Seifert, R.; Schneider, O.; Keller, H. B.
2015. HySeP Projekttreffen, Hochschule Karlsruhe, 18.August 2015
Characterisation of demoulding parameters in micro-injection moulding
Griffiths, C. A.; Tosello, G.; Dimov, S. S.; Scholz, S. G.; Rees, A.; Whiteside, B.
2015. Microsystem technologies, 21 (8), 1677–1690. doi:10.1007/s00542-014-2269-6
Nonlinear model predictive control approach for structural load mitigation of wind turbines in presence of wind measurement uncertainties
Tofighi, E. M.; Faulwasser, T.; Kellett, C. M.
2015. 5th Australian Control Conference, AUCC 2015, G17 Complex, Griffith University Gold Coast, Australia, 210–214, Institute of Electrical and Electronics Engineers (IEEE)
Subgroup discovery as a method for generating test ontologies
Knöll, D.; Rieder, C.; Atzmueller, M.; Scherer, K. P.
2015. Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, FGDB. Trier, October 7-9, 2015. Ed.: R. Bergmann, 239–246, RWTH Aachen
Subgroup discovery as a method for generating test ontologies
Knöll, D.; Rieder, C.; Atzmueller, M.; Scherer, K. P.
2015. LWA 2015 Workshops: KDML, FGWM, IR, FGDB. Trier, October 7-9, 2015
Systemintegration auf Hard- und Softwareebene am Beispiel des 2:1 Funtionsmodells eines künstlichen Akkommodationssystems
Gengenbach, U.; Beck, C.; Guth, H.; Hellmann, A.; Koker, L.; Krug, M.; Martin, T.; Nagel, J.; Sieber, I.; Scharnowell, R.; Stiller, P.; Guthoff, R.; Bretthauer, G.
2015. MikroSystemTechnik Kongress 2015, Karlsruhe, 26.-28.Oktober 2015. Proceedings auf CD-ROM, 234–237, VDE Verlag
Systemintegration auf Hard- und Softwareebene am Beispiel des 2:1 Funtionsmodells eines künstlichen Akkommodationssystems
Gengenbach, U.; Beck, C.; Guth, H.; Hellmann, A.; Koker, L.; Krug, M.; Martin, T.; Nagel, J.; Sieber, I.; Scharnowell, R.; Stiller, P.; Guthoff, R.; Bretthauer, G.
2015. 6. Mikrosystemtechnik Kongress (2015), Karlsruhe, Germany, October 26–28, 2015
Dosierplattform zur Deposition von photoaktiven Fluiden für Anwendungen in der Photonik
Hofmann, A.; Kröger, M.; Ungerer, M.; Wondimu, S.; Dietrich, P. I.; Wienhold, T.; Lauermann, M.; Koos, C.; Bretthauer, G.
2015. MikroSystemTechnik Kongress 2015, Karlsruhe, 26.-28.Oktober 2015. Proceedings auf CD-ROM, 127–130, VDE Verlag
Dosierplattform zur Deposition von photoaktiven Fluiden für Anwendungen in der Photonik
Hofmann, A.; Kröger, M.; Ungerer, M.; Wondimu, S.; Dietrich, P. I.; Wienhold, T.; Lauermann, M.; Koos, C.; Bretthauer, G.
2015. 6. Mikrosystemtechnik Kongress (2015), Karlsruhe, Germany, October 26–28, 2015
Quantitative analysis of corneal sub-basal nerve plexus and inflammatory cells in large-area mosaics obtained by in vivo confocal microscopy
Badian, R. A.; Utheim, T. P.; Allgeier, S.; Köhler, B.; Ruggeri, A.; Poletti, E.; Guimares, P.; Lagali, N. S.
2015. Investigative ophthalmology & visual science, 56 (7), 1637
Quantitative analysis of corneal sub-basal nerve pexus and inflammatory cells in large-area mosaics obtained by in vivo confocal microscopy
Badian, R. A.; Utheim, T. P.; Allgeier, S.; Köhler, B.; Ruggeri, A.; Poletti, E.; Guimares, P.; Lagali, N. S.
2015. ARVO Annual Meeting 2015, Denver, CO, May 3-7, 2015
Local variability of parameters for characterization of the corneal sub-basal nervePlexus
Stachs, O.; Winter, K.; Scheibe, P.; Köhler, B.; Allgeier, S.; Guthoff, R. F.
2015. Investigative Ophtalmology and Visual Science, 56 (7), 1636
Comparative quantitative assessment of the human corneal sub-basal nerve plexus by histologic staining and in vivo confocal microscopy
Guthoff, R. F.; Kowtharapu, B. S.; Hovakimyan, M.; Allgeier, S.; Köhler, B.; Winter, K.; Stahnke, T.; Marfurt, C. F.; Stachs, O.
2015. Investigative Ophthalmology and Visual Science, 56 (7), 3071
Ein Baukastensystem für multifunktionale, mehrlagige, gedruckte Systeme
Gengenbach, U.; Dickerhof, M.; Koker, L.; Nagel, J.; Sieber, I.; Schwartz, G.; Kuehner, T.; Torge, M.; Ungerer, M. B., G.
2015. 6. Mikrosystemtechnik Kongress (2015), Karlsruhe, Germany, October 26–28, 2015
An automated and high-throughput photomotor response platform for chemical screens
Marcato, D.; Alshut, R.; Breitwieser, H.; Mikut, R.; Strähle, U.; Pylatiuk, C.; Peravali, R.
2015. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Milano, I, August 25-29, 2015
An automated and high-throughput photomotor response platform for chemical screens
Marcato, D.; Alshut, R.; Breitwieser, H.; Mikut, R.; Strähle, U.; Pylatiuk, C.; Peravali, R.
2015. Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Milano, I, August 25-29, 2015 Piscataway, N.J. : IEEE, 2015, 7728–7731. doi:10.1109/EMBC.2015.7320183
On the design of economic NMPC based on approximate turnpike properties
Faulwasser, T.; Bonvin, D.
2015. 54th IEEE Conference on Decision and Control (CDC 2015), Osaka, J, December 15-18, 2015
On the design of economic NMPC based on approximate turnpike properties
Faulwasser, T.; Bonvin, D.
2015. Proceedings of the 54th IEEE Conference on Decision and Control (CDC 2015), Osaka, J, December 15-18, 2015, 4964–4970, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2015.7402995
Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis
Maaß, H.; Cakmak, H. K.; Bach, F.; Mikut, R.; Harrabi, A.; Süß, W.; Jakob, W.; Stucky, K.-U.; Kühnapfel, U. G.; Hagenmeyer, V.
2015. EURASIP journal on advances in signal processing, 2015 (1), 1–21. doi:10.1186/s13634-015-0203-4
Genesis of the CityGML energy ADE
Nouvel, R.; Kaden, R.; Bahu, J. M.; Kaempf, J.; Cipriano, P.; Lauster, M.; Benner, J.; Munoz, E.; Tournaire, O.; Casper, E.
2015. Future Buildings and Districts - Sustainability form Nano to Urban Scale : International Conference CISBAT 2015, Lausanne, CH, September 9-11, 2015
Genesis of the CityGML energy ADE
Nouvel, R.; Kaden, R.; Bahu, J. M.; Kaempf, J.; Cipriano, P.; Lauster, M.; Benner, J.; Munoz, E.; Tournaire, O.; Casper, E.
2015. Future Buildings and Districts - Sustainability form Nano to Urban Scale : International Conference CISBAT 2015, Lausanne, CH, September 9-11, 2015 Proceedings published online, 931–936. doi:10.5075/epfl-cisbat2015-931-936
Development of the CityGML application domain extension energy for urban energy simulations
Nouvel, R.; Bahu, J. M.; Kaden, R.; Kaempf, J.; Cipriano, P.; Lauster, M.; Häfele, K. H.; Munoz, E.; Tournaire, O.; Caser, E.
2015. 14th International Conference of the International Building Performance Simulation Association, Hyderabad, IND, December 7-9, 2015
Development of the CityGML application domain extension energy for urban energy simulations
Nouvel, R.; Bahu, J. M.; Kaden, R.; Kaempf, J.; Cipriano, P.; Lauster, M.; Häfele, K. H.; Munoz, E.; Tournaire, O.; Caser, E.
2015. 14th International Conference of the International Building Performance Simulation Association, Hyderabad, IND, December 7-9, 2015 Proceedings published online, 559–564
Model predictive path following control
Faulwasser, T.
2015. 1st Symposium on Robotics and Model Predictive Control: Path Following, Bremen, September 13-16, 2015
Ein Heimtrainingssystem mit Erweiterter Realität zur Therapie von Phantomschmerzen basierend auf dem Spiegel- und dem motorischen Vorstellungstraining
Staudt, K.; Fuchs, X.; Trojan, J.; Diers, M.; Milde, C.; Bekrater-Bodmann, R.; Foell, J.; Maaß, H.; Bach, F.; Flor, H.
2015. Deutscher Schmerzkongress (2015), Mannheim, Germany, October 14–17, 2015
A concept for the control, monitoring and visualization center in energy lab 2.0
Düpmeier, C.; Stucky, K. U.; Mikut, R.; Hagenmeyer, V.
2015. 4th D-A-CH Energy Informatics Conference, Karlsruhe, November 12-13, 2015
A concept for the control, monitoring and visualization center in energy lab 2.0
Düpmeier, C.; Stucky, K. U.; Mikut, R.; Hagenmeyer, V.
2015. Energy Informatics : 4th D-A-CH Conference, Karlsruhe, November 12-13, 2015. Ed.: S. Gottwalt, 83–94, Springer. doi:10.1007/978-3-319-25876-8_8
Vergleichende Untersuchung und systemische Betrachtung verschiedener digitaler Ein-Düsen-Druckverfahren zur Herstellung funktionaler Mikrostrukturen
Ungerer, M.; Gengenbach, U.; Hofmann, A.; Bretthauer, G.
2015. MikroSystemTechnik Kongress 2015, Karlsruhe, 26.-28.Oktober 2015
Vergleichende Untersuchung und systemische Betrachtung verschiedener digitaler Ein-Düsen-Druckverfahren zur Herstellung funktionaler Mikrostrukturen
Ungerer, M.; Gengenbach, U.; Hofmann, A.; Bretthauer, G.
2015. MikroSystemTechnik Kongress 2015, Karlsruhe, 26.-28.Oktober 2015. Proceedings, CD-ROM, VDE Verlag
A new mathematical procedure for simultaneoous analysis of gases with resistive gas sensors
Seifert, R.; Keller, H. B.
2015. Sensor und Test 2015, Nürnberg, 19.-21.Mai 2015. Proceedings, 845–847, AMA Service. doi:10.5162/sensor2015/P.8.6
Challenges of integrating a priori information efficiently in the discovery of spatio-temporal objects in large databases
Schott, B.; Stegmaier, J.; Takamiya, M.; Mikut, R.
2015. 25.Workshop Computational Intelligence, Dortmund, 26.-27.Novenber 2015
AGaMon-Statusbericht Dezember 2015
Seifert, R.; Keller, H. B.
2015. AGaMon Projekttreffen, Karlsruhe, 4.Dezember 2015
Thermally modulated noble metal decorated tin oxide based gas sensor arrays
Knoblauch, J.; Illyaskutty, N.; Kohler, H.; Seifert, R.; Keller, H. B.
2015. 9th International Workshop on Semiconductor Gas Sensors, Zakopane, PL, December 13-16, 2015
On the relevance of turnpike properties for model predictive control
Faulwasser, T.
2015. Vortr.: Technische Universität Shanghai, 11.Dezember 2015
Computational intelligence in smart grids
Mikut, R.
2015. IEEE CIES Workshop, Cape Town, ZA, December 7-10, 2015
In-flight control and communication architecture of the GLORIA imaging limb sounder on atmospheric research aircraft
Kretschmer, E.; Bachner, M.; Blank, J.; Dapp, R.; Ebersoldt, A.; Friedl-Vallon, F.; Guggenmoser, T.; Gulde, T.; Hartmann, V.; Lutz, R.; Maucher, G.; Neubert, T.; Oelhaf, H.; Preusse, P.; Schardt, G.; Schmitt, C.; Schönfeld, A.; Tan, V.
2015. Atmospheric measurement techniques, 8 (6), 2543–2553. doi:10.5194/amt-8-2543-2015
Vorwissen in Funktionsapproximationen durch Support-Vektor-Regression bei schlechter Datenqualität
Doneit, W.; Mikut, R.; Gröll, L.; Reischl, M.
2015. 25.Workshop Computational Intelligence, Dortmund, 26.-27.Novenber 2015
Advanced substrate holder and multi-axis manipulation tool for ultramicroscopy
Spomer, W.; Hofmann, A.; Wacker, I.; Ness, L.; Brey, P.; Schröder, R. R.; Gengenbach, U.
2015. Microscopy & Microanalysis 2015 Meeting, Portland, Oreg., August 2-6, 2015
SMARTLAM - ein hochgestecktes Ziel
Scholz, S.
2015. MicroTec Südwest, 8.Fachgruppensitzung Drucktechnologien, Freudenstadt, 24.November 2015
Advanced tool for ultramicroscopy: Substrate holder and multi-axis manipulator
Spomer, W.; Hofmann, A.; Wacker, I.; Ness, L.; Brey, P.; Schröder, R. R.; Gengenbach, U.
2015. Microscopy Conference 2015, Göttingen, September 6-11, 2015
SMARTLAM - ein modulares, flexibles, skalierbares und konfigurierbares System für die Herstellung von Mikrosystemen
Scholz, S.
2015. Vortr.: IHK Haus der Wirtschaft, Karlsruhe, 17.November 2015
Providing comprehensive information on environmental impacts of nanomaterials. The DaNa2.0 knowledge base nanomaterials
Kühnel, D.; Nau, K.; Marquardt, C.; Krug, H. F.; Paul, F.; Steinbach, C.
2015. 10th International Conference on t