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335 Publikationen


2025 | Artikel | FH-PUB-ID: 5871 | OA
N. O. Beese et al., “Feel me, hear me: vibrotactile and auditory feedback cues in an invisible object search in virtual reality,” Behaviour & Information Technology, vol. 44, no. 6, pp. 1124–1135, 2025.
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2025 | Konferenzbeitrag | FH-PUB-ID: 5775
G. Behrens, Y. Ribouh, N. El Atmioui, and A. Kruse, “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 , 2025.
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2025 | Konferenzbeitrag | FH-PUB-ID: 5774
G. Behrens, Y. Ribouh, and N. El Atmioui, “Cloud Classification and Solar Irradiance Forecasting Using All-Sky Images,” presented at the 1. All-Sky Imager Workshop, Rosenheim, 2025.
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2025 | Konferenzbeitrag | FH-PUB-ID: 5772
G. Behrens, D. Marten, L. Koch, and M. Gaj, “Prognose von Pegelständen mit Methoden des Maschinellen Lernens und frei verfügbaren Daten,” in Umweltinformationssysteme - Digitalisierung für eine nachhaltige Planetare Zukunft/ Tagungsband des 31. Workshops “Umweltinformationssysteme (UIS 2024)” der Fachgruppe “Umweltinformationssysteme” der Gesellschaft für Informatik (GI), Uni Bamberg, 2025.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6449 | OA
F. Casella, B. Bachmann, K. Abdelhak, P. Hannebohm, and T. Van der Stelt, “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), 2025, vol. 218.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6446 | OA
K. Abdelhak and B. Bachmann, “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), 2025, vol. 218.
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2025 | Artikel | FH-PUB-ID: 6445 | OA
B. Bachmann, L. Bonaventura, F. Casella, S. Fernández-García, M. Gómez-Mármol, and P. Hannebohm, “Self-Adjusting Multi-Rate Runge-Kutta Methods: Analysis and Efficient Implementation in An Open Source Framework,” Journal of Scientific Computing, vol. 105, no. 1, 2025.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6361 | OA
L. Langenkamp and B. Bachmann, “Enhancing Collocation-Based Dynamic Optimization through Adaptive Mesh Refinement,” in Proceedings of the 16th International Modelica&FMI Conference, Luzern, 2025, vol. 218, pp. 127–138.
HSBI-PUB | Dateien verfügbar | DOI
 

2025 | Konferenzbeitrag | FH-PUB-ID: 6359 | OA
L. Langenkamp, P. Hannebohm, and B. Bachmann, “Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming,” in Proceedings of the 16th International Modelica&FMI Conference, Luzern, 2025, vol. 218, pp. 445–457.
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2025 | Preprint | FH-PUB-ID: 6448 | OA
F. Brandt, A. Heuermann, P. Hannebohm, and B. Bachmann, “Residual-Informed Learning of Solutions to Algebraic Loops,” arXiv:2510.09317. 2025.
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2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6357 | OA
P. Hannebohm and B. Bachmann, “Selective Evaluation of RHS during Multi-Rate Simulation,” in Proceedings of the 16th International Modelica&FMI Conference, Lucerne, 2025, vol. 218, pp. 943–947.
HSBI-PUB | Dateien verfügbar | DOI
 

2025 | Artikel | FH-PUB-ID: 5408 | OA
M. von der Linde, M. Göcke, G. Hirschfeld, and M. T. Thielsch, “Check or reject? Trust and motivation development in app-based warning systems,” Safety Science, vol. 185, 2025.
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2025 | Artikel | FH-PUB-ID: 6962 | OA
A. P. Amorin, A. Python, and C. Weisser, “Fine-Tuning of Lightweight Large Language Models for Sentiment Classification on Heterogeneous Financial Textual Data,” Preprint, 2025.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6966 | OA
P. Semnani et al., “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, 2025.
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2025 | Artikel | FH-PUB-ID: 6244 | OA
M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, and W. Schenck, “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems,” Big Data and Cognitive Computing, vol. 9, no. 10, 2025.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 

2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6298 | OA
V. Katter and M. Kohlhase, “Efficient Gait Analysis using Knowledge Distillation from Sparse Sensors,” in Proceedings – 35. Workshop Computational Intelligence: Berlin, 20.–21. November 2025, Berlin, 2025, pp. 89–96.
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2025 | Artikel | FH-PUB-ID: 6268 | OA
M. Schöne, M. Kohlhase, and O. Nelles, “Incorporation of structural properties of the response surface into oblique model trees,” at - Automatisierungstechnik, vol. 73, no. 10, pp. 727–739, 2025.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6825
L. Vogel, L. Vollenkemper, A. Müller, and M. Kohlhase, “Scheduling individualized products with reinforcement learning to reduce worker stress,” in Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe), München , 2025, vol. 3381.
HSBI-PUB | DOI
 

2025 | Konferenzbeitrag | FH-PUB-ID: 6310
P. Ulrich and C. Schwede, “Optical determination of the biomass particle size for Cellulosic Biofuel Production,” in 2025 29th International Conference Information Visualisation (IV), Darmstadt, Germany, 2025, pp. 246–253.
HSBI-PUB | DOI
 

2025 | Konferenzbeitrag | FH-PUB-ID: 6795
C. Schwede and A. Freiter, “Using Deep Learning to Improve Simulation-Based Decision Making by Process Lead Time Predictions,” in 2025 Winter Simulation Conference (WSC), Seattle, WA, USA, 2025, pp. 2989–3000.
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