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381 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5098
Sanaullah, S., Attaullah, H., & Jungeblut, T. (2024). Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications. In O. A. Omitaomu, A. Mostafavi, S. Randhawa, & H. Niu (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI (pp. 50–53). New York, NY, USA: ACM. https://doi.org/10.1145/3681780.3697244
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2024 | Konferenzbeitrag | FH-PUB-ID: 5097
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2024). Advancements in Neural Network Generations. In U. Kuhl & DataNinja.nrw (Eds.), Proceedings of the sAIOnARA Conference. Bielefeld: DataNinja sAIOnARA Conference. https://doi.org/10.11576/DATANINJA-1167
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2024 | Konferenzbeitrag | FH-PUB-ID: 5096
Sanaullah, S., Attaullah, H., & Jungeblut, T. (2024). Trade-offs Between Privacy and Performance in Encrypted Dataset using Machine Learning Models. In U. Kuhl & DataNinja.nrw (Eds.), Proceedings of the sAIOnARA Conference. Bielefeld: DataNinja sAIOnARA Conference. https://doi.org/10.11576/DATANINJA-1166
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2024 | Konferenzbeitrag | FH-PUB-ID: 5101
Aslan Oğuz, E., & Küster, J. (2024). A Comparative Analysis of ChatGPT-Generated and Human-Written Use Case Descriptions. In Association for Computing Machinery (Ed.), Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (pp. 533–540). New York, NY, USA: ACM. https://doi.org/10.1145/3652620.3687800
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2024 | Konferenzbeitrag | FH-PUB-ID: 4320
Hanselle, R., Stork, D., Lück, S., Rasche, R., Naumann, R., & Witte, S. (2024). Simulation of a Longitudinal Control System for an Automated Driving Self-Stabilized Monorail Vehicle. In Advances in Dynamics of Vehicles on Roads and Tracks III Proceedings of the 28th Symposium of the International Association of Vehicle System Dynamics. Cham: Springer. https://doi.org/10.1007/978-3-031-66971-2_54
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2024 | Konferenzbeitrag | FH-PUB-ID: 5094 | 
Schniering, S., Nadolny, S., Pohler, B., Gemes, K., Latteck, Ä.-D., Richter, M. T., & Wilhelm, C. (2024). Conceptualisation of an advanced nursing practice intervention in health promotion for people with intellectual disabilities. In Abstractband ICN NP/APN Network Conference. Aberdeen.
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2024 | Artikel | FH-PUB-ID: 5090
Kremling, A., Nadolny, S., Vaitaityte, G., & Schildmann, J. (2024). Patient:innenpartizipation in der klinisch-ethischen Forschung. Die Onkologie, 30(11), 1028–1034. https://doi.org/10.1007/s00761-024-01601-3
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2024 | Artikel | FH-PUB-ID: 5089
Madeira Firmino, N., & Bauknecht, J. (2024). Maßnahmen gegen emotionale Erschöpfung. Sozialpädagogische Impulse, (3), 34–36.
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2024 | Artikel | FH-PUB-ID: 4448 |
Madeira Firmino, N., & Bauknecht, J. (2024). Entwicklung, Ausmaß und Determinanten der Arbeitszufriedenheit von Erzieherinnen und Erziehern. Der pädagogische Blick, 32(1), 5–22.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5077
Zelba, F., Balzereit, K., & Windmann, S. (2024). Concepts and Measures Towards Trustworthy AI in Industrial Manufacturing. In IEEE (Ed.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1–4). Padova, Italy: IEEE. https://doi.org/10.1109/ETFA61755.2024.10710991
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2024 | Diskussionspapier | FH-PUB-ID: 5073 |
Schmidtmann, A., Wiemann, V., Rosenmeier, N., & Hüser, L. K. (2024). Erfahrungsbericht (Lessons Learned) WiLMo-Projekt (1st ed.). Bielefeld. https://doi.org/10.57720/5073
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2024 | Konferenzbeitrag | FH-PUB-ID: 4399
Behrens, G., Hepp, D., Hempelmann, S., & Friedrich , W. (2024). Anwendung von Convolutional Neural Networks zur Schneeerkennung auf Photovoltaikflächen. In Conexio-PSE GmbH (Ed.), Tagungsunterlagen 39. PV-Symposium, 2024 Kloster Banz, Bad Staffelstein. Pforzheim, Deutschland.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5068
Behrens, G., Boschert, A., Kruse, A., Zehner, M., Fehring, F., Kurz, C., … Anneser, K. (2024). Enhancing Photovoltaic Power Forecasting Accuracy with a Network of All-Sky Imagers and Meteorological Sensors Deployed in a PV Test Field. In EUPVSEC 2024. Wien .
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2024 | Konferenzbeitrag | FH-PUB-ID: 5067
Behrens, G., Boschert, A., Zehner, M., & Theiß, N. (2024). Cloud Segmetation and Matching using Deep Learning in All-Sky Images. In M. Rennhofer & TIP Hannover (Eds.), PV-Symposium Proceedings (Vol. 1). Bad Staffelstein : TIB Open Publishing. https://doi.org/10.52825/pv-symposium.v1i
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2024 | Konferenzbeitrag | FH-PUB-ID: 4400
Behrens, G., Theis, N., Boschert, A., & Zehner, M. (2024). Wolkensegementierung und -matching mit Deep Learning in All Sky Images. In M. Rennhofer & Conexio-PSE GmbH (Eds.), Tagungsunterlagen 39. PV-Symposium. Pforzheim, Deutschland.
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2024 | Artikel | FH-PUB-ID: 5063 |
Malczyk, M., Blachowicz, T., & Ehrmann, A. (2024). Coupled System of Dual-Axis Clinostat and Helmholtz Cage for Simulated Microgravity Experiments. Applied Sciences, 14(20). https://doi.org/10.3390/app14209517
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2024 | Fachbuch | FH-PUB-ID: 4998
Köhler, G., Roth, W., & Schmidtmann, A. (2024). Adaptive IT-Service-Ausschreibung. Der Weg zu agilem und effektiverem IT-(Out)Sourcing (1st ed.). Wiesbaden: Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-45536-1
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2024 | Artikel | FH-PUB-ID: 5051
Ahmed, Q. A., Wiersema, T., & Platzner, M. (2024). Post-configuration Activation of Hardware Trojans in FPGAs. Journal of Hardware and Systems Security, 8(2), 79–93. https://doi.org/10.1007/s41635-024-00147-5
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2024 | Konferenzbeitrag | FH-PUB-ID: 5013
Erduran, A., Benning, A., & Altun, K. (2024). Legal Challenges due to the Skills Shortage. In R. Öztürk & N. Bartholomäus (Eds.), Skills shortage – approaches and solutions from universities, companies and politics. Düren: Shaker Verlag.
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2024 | Artikel | FH-PUB-ID: 4997 |
Attaullah, H., Sanaullah, S., & Jungeblut, T. (2024). Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study. Applied Sciences, 14(19). https://doi.org/10.3390/app14199047
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