Please note that HSBI-PUB no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
537 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 4960 | 
Kuchling, P. (2024). Exploration Techniques in Active Learning in Classification. In 2024 International Joint Conference on Neural Networks (IJCNN) (pp. 1–9). Yokohama, Japan: IEEE. https://doi.org/10.57720/4960
HSBI-PUB
| Dateien verfügbar
| DOI
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4883
Sanaullah, S., Roy, K., Ruckert, U., & Jungeblut, T. (2024). Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing . In IEEE (Ed.), 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS) (pp. 1452–1453). Jersey City, NJ, USA: IEEE. https://doi.org/10.1109/ICDCS60910.2024.00147
HSBI-PUB
| DOI
| Inspire
2024 | Artikel | FH-PUB-ID: 4201 |
Aschentrup, L., Steimer, P. A., Dadaczynski, K., Mc Call, T., Fischer, F., & Wrona, K. J. (2024). Effectiveness of gamified digital interventions in mental health prevention and health promotion among adults: a scoping review. BMC Public Health, 24(1). https://doi.org/10.1186/s12889-023-17517-3
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 4862 |
Wrona, K. J., Aschentrup, L., Freyer, O., & Fischer, F. (2024). Mentale Gesundheit spielerisch verbessern: Potenziale und Anforderungen digitaler Anwendungen. Prävention und Gesundheitsförderung. https://doi.org/10.1007/s11553-024-01148-6
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 4521 |
Jagemann, I., Wensing, O., Stegemann, M., & Hirschfeld, G. (2024). Acceptance of Medical Artificial Intelligence in Skin Cancer Screening: Choice-Based Conjoint Survey. JMIR Formative Research, 8. https://doi.org/10.2196/46402
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
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
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
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
HSBI-PUB
| DOI
| Download (ext.)
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4833 |
Jünemann, P., Schneider, A., Waßmuth, J., & Mechtenberg, M. (2024). Comparative Study of a Parameter Tuned Bioinspired Binaural Sound Source Localization Algorithm and a Standard Beamformer. In iDas - Institute for Data Science Solutions of HSBI & Hochschule Bielefeld (Eds.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge (pp. 16–17). Bielefeld: iDas - Institute for Data Science Solutions of HSBI. https://doi.org/10.60802/sidas.2024.1
HSBI-PUB
| DOI
| Download (ext.)
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
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 4832 |
Grimmelsmann, N., Mechtenberg, M., & Schneider, A. (2024). 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. 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. 6–8). Bielefeld: Schriftenreihe des Institute for Data Science Solutions. https://doi.org/ 10.60802/SIDAS.2024.1
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4678
Hunke, K., Engelmann, J., & Schneider, A. (2024). Bioinspired Feature Extraction for the Electric Field-based Determination of Object Size and Position. In iDas Institute for Data Science Solutions (Ed.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge (Vol. 1, pp. 11–13). Bielefeld: Schriftenreihe des Institute for Data Science Solutions. https://doi.org/10.60802/SIDAS.2024.1
HSBI-PUB
| DOI
2024 | Konferenzbeitrag | FH-PUB-ID: 4567
Grumbach, F., Müller, A., & Vollenkemper, L. (2024). Robust Human-Centered Assembly Line Scheduling with Reinforcement Learning. In M. Freitag, A. Kinra, H. Kotzab, & N. Megow (Eds.), Dynamics in Logistics. Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany (pp. 223–234). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56826-8_17
HSBI-PUB
| DOI
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
HSBI-PUB
| Dateien verfügbar
| DOI
2024 | Artikel | FH-PUB-ID: 4626 |
Pottharst, B., Neumann, A., Ostrau, C., & Seelmeyer, U. (2024). Bewältigung des Fachkräftemangels durch technologische Innovation? Sozial Extra. https://doi.org/10.1007/s12054-024-00694-9
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
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 | Kurzbeitrag Konferenz | FH-PUB-ID: 4639 |
Herzig, T. C., Marschner, C., Held, S., Jungeblut, T., Baudisch, J., Ostrau, C., … Nauerth, A. (2024). KI-gestütztes Monitoring zur Unterstützung in der häuslichen Pflege (KIMUP) . In Institute for Data Science Solutions (Ed.), Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge (Vol. 1, pp. 9–10). Bielefeld: Hochschule Bielefeld. https://doi.org/10.60802/sidas.2024.1
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 4563 |
Blachowicz, T., Malczyk, M., Kola, I., Ehrmann, G., Schwenzfeier-Hellkamp, E., & Ehrmann, A. (2024). Textiles for Very Cold Environments. Processes, 12(5). https://doi.org/10.3390/pr12050927
HSBI-PUB
| DOI
| Download (ext.)
2024 | Diskussionspapier | FH-PUB-ID: 4519 |
Wrona, K. J., Aschentrup, L., & Roth, A. (2024). Mobile vertikale Gärten und ihre Potentiale: Erkenntnisse aus einem transdisziplinären Realexperiment zur Umsetzbarkeit im öffentlichen Raum (1st ed.). Bielefeld: Hochschule Bielefeld. https://doi.org/10.57720/4519
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4543 |
Schwan, L., Feige, M., Bondzio, L., Hütten, A., & Schöning, S. (2024). Investigation of the Anisotropic Conductivity in Printed Nanosilver. Presented at the DPG Frühjahrstagung Sektion Kondensierte Materie, Berlin. https://doi.org/10.57720/4543
HSBI-PUB
| Dateien verfügbar
| DOI
2024 | Artikel | FH-PUB-ID: 4278 |
Schnatmann, A. K., Reimers, T., Hüdepohl, E., Umlauf, J., Kleinebekel, P., Schoden, F., & Schwenzfeier-Hellkamp, E. (2024). Investigating the Technical Reuse Potential of Crystalline Photovoltaic Modules with Regard to a Recycling Alternative. Sustainability, 16(3). https://doi.org/10.3390/su16030958
HSBI-PUB
| DOI
| Download (ext.)