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8 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 | 
Attaullah, Hasina, et al. Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft. no. 2, 2025, pp. 4–5, doi:10.60802/sidas.2025.2.
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2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6241 |
Golin, Lena, et al. Green by Design: Nachhaltiger Tiefbau durch KI. Vol. 2, 2025, pp. 18–19, doi:10.60802/SIDAS.2025.2.
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2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6182 |
Bäumer, Frederik, et al. Für eine inklusive digitale Zukunft: Ableismus-sensible Chatbots gestalten. Vol. 2, no. 2025, 2025, doi:10.60802/sidas.2025.2.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6027 |
Deutsch, Luis, et al. “A State-Aware Ant Colony Optimization Approach to the Roll-on/Roll-off Problem for Skip Loaders.” KI-Kongress , Schriftenreihe des Institus for Data Science Solutions.
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4798 |
Karau, Fabian, and Michael Leuer. “Approximation einer modellprädiktiven Antriebsregelung durch ein neuronales Netz.” Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge, edited by Institute for Data Science Solutions, iDas and Hochschule Bielefeld, 2024, pp. 18–19, doi:https://doi.org/10.60802/sidas.2024.1 .
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4825 |
Mechtenberg, Malte, et al. “Improvement of SEMG Exoskeleton Control Based on Prediction of the Myotendinous System State.” Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-, edited by iDaS Institute for Data Science Solutions of HSBI and Hochschule Bielefeld, vol. 1, no. 1, 2024, pp. 24–25, doi:10.60802/SIDAS.2024.1.
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4833 |
Jünemann, Philipp, et al. “Comparative Study of a Parameter Tuned Bioinspired Binaural Sound Source Localization Algorithm and a Standard Beamformer.” Kongress KI@HSBI2023 Solutions Im Fokus - Posterbeiträge, edited by iDas - Institute for Data Science Solutions of HSBI and Hochschule Bielefeld, no. 1, iDas - Institute for Data Science Solutions of HSBI, 2024, pp. 16–17, doi:https://doi.org/10.60802/sidas.2024.1.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4832 |
Grimmelsmann, Nils, et al. “Predicting the Extent of Co-Activation of One Muscle Head by SEMG-Measurements from the Other Muscle Head of the Biceps Brachii Using Linear Regression and Shallow Feedforward Neural Networks.” Nr. 1 (2024): Kongress KI@HSBI2023 Solutions Im Fokus -Posterbeiträge-, edited by iDaS Institute for Data Science Solutions of HSBI and Hochschule Bielefeld, vol. 1, no. 2024, Schriftenreihe des Institute for Data Science Solutions, 2024, pp. 6–8, doi: 10.60802/SIDAS.2024.1.
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