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394 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 4762
Benning, A., Erduran, A., Altun, K., & Meral, T. (2024). Legal Framework of Diversity, Inclusion and Equality: Implications in Europe and Germany. In R. Öztürk, E. S. Bayrak Meydanoglu, D. Zamantili Nayir, & M. Klein (Eds.), Diversity, Equality and Inclusion (pp. 170–185). Düren: Shaker Verlag.
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2024 | Diskussionspapier | FH-PUB-ID: 4781
Soyka, C., Schaper, N., Schürmann, M., Hasenklever, I., Helmbold, A., Köpke, S., … Latteck, Ä.-D. (2024). Kompetenzmodell der vorbehaltenen Aufgaben der Pflege für die hochschulische Pflegeausbildung (KomVorHoP). Paderborn: Universitätsbibliothek. https://doi.org/10.17619/UNIPB/1-2030
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2024 | Konferenzbeitrag | FH-PUB-ID: 4782
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2024). A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. In L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis, & C. Jayne (Eds.), Engineering Applications of Neural Networks. 25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings (pp. 317–328). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-62495-7_24
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2024 | Konferenzbeitrag | FH-PUB-ID: 4783 | 
Sanaullah, S., Roy, K., Rückert, U., & Jungeblut, T. (2024). A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. In T. Lutchyn, A. Ramírez Rivera, & B. Ricaud (Eds.), Proceedings of the 5th Northern Lights Deep Learning Conference (Vol. 233). UiT The Arctic University, Tromsø, Norway: Proceedings of Machine Learning Research (PMLR). https://doi.org/10.48550/arXiv.2407.08861
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2024 | Dissertation | FH-PUB-ID: 4792 |
Storck, J. L. (2024). Automation of crochet technology and development of a prototype machine for the production of complex-shaped textiles. Technische Universität Dresden. http://dx.doi.org/10.13140/RG.2.2.28243.18729
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4798 |
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 | Buchbeitrag | FH-PUB-ID: 4799 |
Middendorf, T., & Parchow, A. (2024). »Corona-Dead, auf einmal alles leer« Eine qualitative Untersuchung zur Harmonisierung der Alltagspraxis in Pandemiezeiten aus Sicht obdach- und wohnungsloser Menschen. In F. Sowa, M. Heinrich, & F. Heinzelmann (Eds.), Obdach- und Wohnungslosigkeit in pandemischen Zeiten. Interdisziplinäre Perspektiven (1st ed., Vol. 70, pp. 331–345). Bielefeld: transcript Verlag.
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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
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2024 | Masterarbeit | FH-PUB-ID: 4819 |
Maoro, K. (2024). Regulierungsdichte in der EU am Beispiel des Themas Nachhaltigkeit unter Beachtung der Einflussmöglichkeiten von Unternehmen auf die Gestaltung von Gesetzen.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4823
Grimmelsmann, N., Mechtenberg, M., Vieth, M., Schulz, A., Hammer, B., & Schneider, A. (2024). Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural Networks. In M. Pedro Guarino, K. Hotta, M. Yousef , H. Liu , G. Saggio , A. Fred, & H. Gamboa (Eds.), Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 611–621). Rome, Italy: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012368700003657
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4825 |
Mechtenberg, M., Grimmelsmann, N., & Schneider, A. (2024). Improvement of sEMG Exoskeleton Control Based on Prediction of the Myotendinous System State. In iDaS Institute for Data Science Solutions of HSBI & Hochschule Bielefeld (Eds.), Nr. 1 (2024): Kongress KI@HSBI2023 Solutions im Fokus -Posterbeiträge- (Vol. 1, pp. 24–25). Bielefeld. https://doi.org/10.60802/SIDAS.2024.1
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2024 | Konferenzbeitrag | FH-PUB-ID: 4826
Mechtenberg, M., Grimmelsmann, N., & Schneider, A. (2024). A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs. In M. Pedro Guarino, K. Hotta, M. Yousef , H. Liu , G. Saggio , A. Fred, & H. Gamboa (Eds.), Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 629–636). Rome, Italy: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012375100003657
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2024 | Masterarbeit | FH-PUB-ID: 4722 |
Steiner, M. J. (2024). Der digitale Produktpass und andere Neuerungen im Entwurf der Ökodesign-Verordnung. https://doi.org/10.57720/4722
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2024 | Artikel | FH-PUB-ID: 4729 |
Nadolny, S., Bruns, F., Nowak, A., & Schildmann, J. (2024). Moral competency of students at a german medical school – A longitudinal survey. BMC Medical Education, 24. https://doi.org/10.1186/s12909-024-05674-x
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4733 |
Feige, M., Schwan, L., & Schöning, S. (2024). Usability and Performance Analysis of 3D-Ink-Jet-Printed Load Cells with Resistive and Capacitive Strain Gauges. Presented at the 87. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Kondensierte Materie, Berlin. https://doi.org/10.57720/4733
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2024 | Artikel | FH-PUB-ID: 4735
Schmidtmann, A. (2024). Informationssicherheit von ERP-Systemen in der Cloud. ERP Information, 1, 19–23.
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2024 | Artikel | FH-PUB-ID: 4739 |
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: 4644
Klein, L., Ostrau, C., Thies, M., Schenck, W., & Rückert, U. (2024). Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In D. Salvi, P. Van Gorp, & S. A. Shah (Eds.), Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings (pp. 423–437). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-59717-6_27
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2024 | Konferenzbeitrag | FH-PUB-ID: 4647
Schnatmann, A. K., & Schwenzfeier-Hellkamp, E. (2024). Transfer of circular economy principles to photovoltaics by analyzing R principles. In Hochschule Bielefeld; IEEE PES Germany Chapter (Ed.), PESS 2023 – IEEE Power and Energy Student Summit. Berlin: VDE Verlag GmbH.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 4648
Wattenberg, M. (2024). Theoretical Foundations of Customer Engagement in Social Media – Implications for Businesses. In A. Coman & S. Vasilache (Eds.), Social Computing and Social Media. 16th International Conference, SCSM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part II (pp. 370–387). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-61305-0_26
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