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507 Publikationen


2025 | Konferenzbeitrag | FH-PUB-ID: 5115
Vambolt, E., Gumpert, F., Lowe, L., Wilczok, E., Fromme, L., & Lohbreier, J. (2025). Comparison of FEM and PINN-Based Prediction of the Power Transmission of ERS With Small Data Sets. In 2024 14th International Electric Drives Production Conference (EDPC) (pp. 1–8). Regensburg: IEEE. https://doi.org/10.1109/EDPC63771.2024.10932839
HSBI-PUB | DOI
 

2025 | Datenpublikation | FH-PUB-ID: 5865 | OA
Ziebart, J. R., & Kaufmann, T. (2025). Methodenkatalog für Methoden zur nachhaltigen Produktentwicklung V1.0. Hochschule Bielefeld. https://doi.org/10.57720/5865
HSBI-PUB | Dateien verfügbar | DOI
 

2025 | Konferenzbeitrag | FH-PUB-ID: 5846
Peter, S., Stille, K. S., & Loesenbeck, J. B. (2025). Three-Phase PFC Rectifier with only two AC-side Transistors P2S6. In 26th European Conference on Power Electronics and Applications. Paris.
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2025 | Artikel | FH-PUB-ID: 5763 | OA
Lorke, M., & Stefanou, T. (2025). Improving research and development of wearable assistive and rehabilitation technologies: a systematic review on diversity factors. Journal of NeuroEngineering and Rehabilitation, 22(1). https://doi.org/10.1186/s12984-025-01562-7
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 

2025 | Artikel | FH-PUB-ID: 5415 | OA
Jamebozorgi, V., Rasim, K., & Schröder, C. (2025). Multiscale modeling of texture effects on pitting corrosion of iron. Materials Today Communications, 43. https://doi.org/10.1016/j.mtcomm.2025.111761
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2025 | Artikel | FH-PUB-ID: 5366
Sanaullah, S., Schneider, A., Waßmuth, J., Rückert, U., & Jungeblut, T. (2025). RAVSim v2.0: Enhanced visualization and comparative analysis for neural network models. SoftwareX, 29. https://doi.org/10.1016/j.softx.2024.102006
HSBI-PUB | DOI
 

2025 | Artikel | FH-PUB-ID: 5323 | OA
Wrona, K. J., Albrecht, J., Schulenkorf, T., & Bruland, D. (2025). Förderung digitaler Gesundheitskompetenz in benachteiligten Lebenslagen durch Community-orientierte Ansätze: Ergebnisse eines Workshops. Prävention und Gesundheitsförderung. https://doi.org/10.1007/s11553-024-01186-0
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2024 | Konferenzbeitrag | FH-PUB-ID: 4816
Gumpert, F., Vambolt, E., Schmidt, M., Fromme, L., Dietz, A., & Lohbreier, J. (2024). Physics-Informed Neural Networks to predict the Power Transmission of Electric Road Systems. In 2024 1st International Conference on Production Technologies and Systems for E-Mobility (EPTS) (pp. 1–7). Bamberg, Germany: IEEE. https://doi.org/10.1109/EPTS61482.2024.10586741
HSBI-PUB | DOI
 

2024 | Konferenzbeitrag | FH-PUB-ID: 5457
Peter, S., Steenbock, L., Stille, K. S., & Loesenbeck, J. B. (2024). Hysteresis Current Control for the Three-Phase PFC-Rectifier with two AC Side Transistors. In IEEE (Ed.), IEEE Power and Energy Student Summit (PESS) 2024. Berlin, Offenbach: VDE VERLAG GMBH .
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2024 | Konferenzbeitrag | FH-PUB-ID: 5807
Karau, F., Leuer, M., & Henke, M. (2024). Neural Network Based Approximated Model Predictive Control with Preview on Standard Automation Hardware. In IEEE (Ed.), IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society (pp. 1–8). Chicago, IL, USA: IEEE. https://doi.org/10.1109/IECON55916.2024.10905949
HSBI-PUB | DOI
 

2024 | Konferenzbeitrag | FH-PUB-ID: 5808
Karau, F., & Leuer, M. (2024). Rapid Control Prototyping on Standard Industrial Automation Hardware. In IEEE (Ed.), IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society (pp. 1–7). Chicago, IL, USA: IEEE. https://doi.org/10.1109/IECON55916.2024.10905274
HSBI-PUB | DOI
 

2024 | Konferenzbeitrag | FH-PUB-ID: 5802 | OA
Siegler, M., & Wrona, K. J. (2024). Gesundes Leben trotz Klimawandel im Quartier?! Transdisziplinäres Kooperationsprojekt in Anlehnung an das Forschungsformat ‚Reallabor‘. Presented at the Fachtagung Reallaborforschung im Gesundheits- und Sozialwesen, Bielefeld.
HSBI-PUB | Dateien verfügbar
 

2024 | Artikel | FH-PUB-ID: 5776 | OA
Balzereit, K., Grüttemeier, N., Morawietz, N., Reinhardt, D., Windmann, S., & Wolf, P. (2024). Scalable Neighborhood Local Search for Single-Machine Scheduling with Family Setup Times. ArXiv. https://doi.org/10.48550/ARXIV.2409.00771
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2024 | Konferenzbeitrag | FH-PUB-ID: 5761
Quakernack, L., Gurcke, M., Schulte, K., & Haubrock, J. (2024). Grid-Oriented Control of Vehicle Batteries in a Cellular Grid Setup Based on Fuzzy Logic. In IEEE (Ed.), 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) (pp. 1–5). Dubrovnik, Croatia: IEEE. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863623
HSBI-PUB | DOI
 

2024 | Artikel | FH-PUB-ID: 4739 | OA
Jamebozorgi, V., Rasim, K., & Schröder, C. (2024). Computational chemistry analysis of passive layer formation and breakdown mechanisms in ferritic stainless steels. Corrosion Science, 235. https://doi.org/10.1016/j.corsci.2024.112194
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2024 | Konferenzbeitrag | FH-PUB-ID: 5720
Quakernack, L., Engelmann, T., Haubrock, J., & Vaquet, V. (2024). LSTM Autoencoder Model to Identify Electric Vehicles in Grouped Smart Meter Data. In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) (pp. 1–5). Dubrovnik, Croatia: IEEE. https://doi.org/10.1109/ISGTEUROPE62998.2024.10863725
HSBI-PUB | DOI
 

2024 | Artikel | FH-PUB-ID: 5022 | OA
Davies, E., Schwenzfeier-Hellkamp, E., & Ehrmann, A. (2024). Safety of Hydrogen Storage Technologies. Processes, 12(10). https://doi.org/10.3390/pr12102182
HSBI-PUB | Dateien verfügbar | DOI
 

2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4798 | OA
Karau, F., & Leuer, M. (2024). Approximation einer modellprädiktiven Antriebsregelung durch ein neuronales Netz. In Institute for Data Science Solutions, iDas & Hochschule Bielefeld (Eds.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge (pp. 18–19). Bielefeld. https://doi.org/10.60802/sidas.2024.1
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2024 | Konferenzbeitrag | FH-PUB-ID: 5494
Akay, J. M., & Schenck, W. (2024). Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In M. Wand, K. Malinovská, J. Schmidhuber, & I. V. Tetko (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII (pp. 427–444). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72353-7_31
HSBI-PUB | DOI
 

2024 | Artikel | FH-PUB-ID: 4050
Migenda, N., Möller, R., & Schenck, W. (2024). Adaptive local Principal Component Analysis improves the clustering of high-dimensional data. Pattern Recognition, 146. https://doi.org/10.1016/j.patcog.2023.110030
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