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335 Publikationen
2025 | Artikel | FH-PUB-ID: 5871 | 
Beese, N. O., Dümke, L., Döll, Y. N., Reinhard, R., Spilski, J., Lachmann, T., & Müller, K. (2025). Feel me, hear me: vibrotactile and auditory feedback cues in an invisible object search in virtual reality. Behaviour & Information Technology, 44(6), 1124–1135. https://doi.org/10.1080/0144929X.2025.2459248
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2025 | Konferenzbeitrag | FH-PUB-ID: 5775
Behrens, G., Ribouh, Y., El Atmioui, N., & Kruse, A. (2025). Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images and based on Machine Learning Techniques . Presented at the ICRES - International Conference on Renewable Energy Systems with focus on Solar Energy , Thessaloniki .
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2025 | Konferenzbeitrag | FH-PUB-ID: 5774
Behrens, G., Ribouh, Y., & El Atmioui, N. (2025). Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images. Presented at the 1. All-Sky Imager Workshop, Rosenheim.
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2025 | Konferenzbeitrag | FH-PUB-ID: 5772
Behrens, G., Marten, D., Koch, L., & Gaj, M. (2025). Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten. In F. Fuchs-Kittkowski, A. Abecker, F. Hosenfeld, A. Reineke, M. Möller, & Springer (Eds.), Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI). Berlin: Springer Fachmedien Wiesbaden; Springer Vieweg .
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2025 | Konferenzbeitrag | FH-PUB-ID: 6449 |
Casella, F., Bachmann, B., Abdelhak, K., Hannebohm, P., & Van der Stelt, T. (2025). Diagnosing Newton’s Solver Convergence Failures in the Initialization of Modelica Models. In Proceedings of the 16th International Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU) (Vol. 218). Linköping University Electronic Press. https://doi.org/10.3384/ecp218109
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2025 | Konferenzbeitrag | FH-PUB-ID: 6446 |
Abdelhak, K., & Bachmann, B. (2025). Constant Time Causalization using Resizable Arrays. In Proceedings of the 16th International Modelica&FMI Conference, September 8 – 10, 2025, Lucerne University of Applied Sciences and Arts (HSLU) (Vol. 218). Linköping University Electronic Press. https://doi.org/10.3384/ecp218203
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2025 | Artikel | FH-PUB-ID: 6445 |
Bachmann, B., Bonaventura, L., Casella, F., Fernández-García, S., Gómez-Mármol, M., & Hannebohm, P. (2025). Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework. Journal of Scientific Computing, 105(1). https://doi.org/10.1007/s10915-025-03049-y
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2025 | Konferenzbeitrag | FH-PUB-ID: 6361 |
Langenkamp, L., & Bachmann, B. (2025). Enhancing Collocation-Based Dynamic Optimization through Adaptive Mesh Refinement. In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International Modelica&FMI Conference (Vol. 218, pp. 127–138). Luzern: Linköping University Electronic Press. https://doi.org/10.3384/ecp218127
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2025 | Konferenzbeitrag | FH-PUB-ID: 6359 |
Langenkamp, L., Hannebohm, P., & Bachmann, B. (2025). Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming. In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International Modelica&FMI Conference (Vol. 218, pp. 445–457). Luzern: Linköping University Electronic Press. https://doi.org/10.3384/ecp218445
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2025 | Preprint | FH-PUB-ID: 6448 |
Brandt, F., Heuermann, A., Hannebohm, P., & Bachmann, B. (2025). Residual-Informed Learning of Solutions to Algebraic Loops. ArXiv:2510.09317.
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2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 |
Hannebohm, P., & Bachmann, B. (2025). Selective Evaluation of RHS during Multi-Rate Simulation. In D. Zimmer & U. C. Müller (Eds.), Proceedings of the 16th International Modelica&FMI Conference (Vol. 218, pp. 943–947). Lucerne: Linköping University Electronic Press. https://doi.org/10.3384/ecp218943
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2025 | Artikel | FH-PUB-ID: 5408 |
Linde, M. von der, Göcke, M., Hirschfeld, G., & Thielsch, M. T. (2025). Check or reject? Trust and motivation development in app-based warning systems. Safety Science, 185. https://doi.org/10.1016/j.ssci.2024.106724
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2025 | Artikel | FH-PUB-ID: 6962 |
Amorin, A. P., Python, A., & Weisser, C. (2025). Fine-Tuning of Lightweight Large Language Models for Sentiment Classification on Heterogeneous Financial Textual Data. Preprint. https://doi.org/10.48550/arXiv.2512.00946
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2025 | Konferenzbeitrag | FH-PUB-ID: 6966 |
Semnani, P., Bogojeski, M., Bley, F., Zhang, Z., Wu, Q., Kneib, T., … Müller, K. R. (2025). From Prediction to Proposal in Catalysis: Robust Evaluation, LRP Explanations, and Relevance-Guided Candidate Generation. Presented at the European Conference on Neural Information Processing Systems (EurIPS) Workshop: SimBioChem 2025, Copenhagen, Denmark: Openreview.
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2025 | Artikel | FH-PUB-ID: 6244 |
Niederhaus, M., Migenda, N., Weller, J., Kohlhase, M., & Schenck, W. (2025). Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. Big Data and Cognitive Computing, 9(10). https://doi.org/10.3390/bdcc9100261
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2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6298 |
Katter, V., & Kohlhase, M. (2025). Efficient Gait Analysis using Knowledge Distillation from Sparse Sensors. In H. Schulte, F. Hoffmann, R. Mikut, & Karlsruher Institut für Technologie (KIT) (Eds.), Proceedings – 35. Workshop Computational Intelligence: Berlin, 20.–21. November 2025 (pp. 89–96). Karlsruhe: Karlsruher Institut für Technologie (KIT). https://doi.org/10.5445/IR/1000186052
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2025 | Artikel | FH-PUB-ID: 6268 |
Schöne, M., Kohlhase, M., & Nelles, O. (2025). Incorporation of structural properties of the response surface into oblique model trees. At - Automatisierungstechnik, 73(10), 727–739. https://doi.org/10.1515/auto-2025-0017
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2025 | Konferenzbeitrag | FH-PUB-ID: 6825
Vogel, L., Vollenkemper, L., Müller, A., & Kohlhase, M. (2025). Scheduling individualized products with reinforcement learning to reduce worker stress. In S.-H. Sheu (Ed.), Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe) (Vol. 3381). München : AIP Publishing. https://doi.org/10.1063/5.0315901
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2025 | Konferenzbeitrag | FH-PUB-ID: 6310
Ulrich, P., & Schwede, C. (2025). Optical determination of the biomass particle size for Cellulosic Biofuel Production. In 2025 29th International Conference Information Visualisation (IV) (pp. 246–253). Darmstadt, Germany: IEEE. https://doi.org/10.1109/IV68685.2025.00052
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2025 | Konferenzbeitrag | FH-PUB-ID: 6795
Schwede, C., & Freiter, A. (2025). Using Deep Learning to Improve Simulation-Based Decision Making by Process Lead Time Predictions. In IEEE (Ed.), 2025 Winter Simulation Conference (WSC) (pp. 2989–3000). Seattle, WA, USA: IEEE. https://doi.org/10.1109/WSC68292.2025.11338913
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