Smart Digital Industries & Services
Publikationen
Abu Naim, B., Amiri, M. Z., & Tauber, M. (2025). An AI-Gym for Industry 4.0. In Proceedings of the IEEE Network Operations and Management Symposium (NOMS 2025), Honolulu, HI, USA, pp. 1–6. https://doi.org/10.1109/NOMS57970.2025.11073648
keywords: {Production;Real-time systems;Data models;Agriculture;Fourth Industrial Revolution;Artificial intelligence;Streams;Industrial Internet of Things;Testing;Smart manufacturing;AI;LLM;AI-gym;IIoT;Controlled Environment Agriculture}
Kovari, A., Ghafourian, Y., Hegedus, C., Abu Naim, B., Mezei, K., Varga, P., & Tauber, M. (2025). Let’s have a chat with the EU AI Act. arXiv preprint, arXiv:2505.11946
Ghafourian, Y., Lindner, F., Kattan, O., Karathanasopoulou, K., Tauber, M., & Dimitrakopoulos, G. (2025). Understanding Stakeholders of Industrial AI: Insights from a Persona-Based Questionnaire. In Proceedings of the IEEE Network Operations and Management Symposium (NOMS 2025), Honolulu, HI, USA, pp. 1–6. https://doi.org/10.1109/NOMS57970.2025.11073619
keywords: {Surveys;Industries;Technological innovation;Technology acceptance model;Standards organizations;Organizations;Regulation;Stakeholders;Artificial intelligence;Guidelines;Artificial Intelligence;Personas;Questionnaire;Technology Acceptance;QETAM}
Kupsa, R., Abdalla, Y., Gindl, S., Anjomshoaa, A., & Tauber, M. (2025). AI-Driven Aquaponics: Real-Time Computer Vision and Machine Learning in Industry 4.0. In Proceedings of the IEEE Network Operations and Management Symposium (NOMS 2025), Honolulu, HI, USA, pp. 1–4. https://doi.org/10.1109/NOMS57970.2025.11073591
keywords: {Symbiosis;Computer vision;Pipelines;Machine learning;Streaming media;Fish;Real-time systems;Fourth Industrial Revolution;Object tracking;Anomaly detection;aquaponics;automated fish behavior analysis;machine learning;computer vision;object detection;object tracking;anomaly detection}
Abu Naim, B., Ghafourian, Y., Ryabokon, A., Flamigni, F., & Baldrian, R. (2024). A generic framework for resourcelimited microcontrollers deployment in I-IoT systems. In Proceedings of the 5th Workshop on Management for Industry 5.0 (MFI5.0), at IFIP/IEEE NOMS 2024 – Network Operations and Management Symposium.
Abu Naim, B., Ghafourian, Y., Tauber, M., Lindner, F., Schmittner, C., Schoitsch, E., Schneider, G., Kattan, O., Ryabokon, A., Flamigni, F., Karathanasopoulou, K., & Dimitrakopoulos, G. (2024). A self -assessment tool to encourage the uptake of artificial intelligence in digital workspaces. In Proceedings of the 5th Workshop on Management for Industry 5.0 (MFI5.0), at IFIP/IEEE NOMS 2024 – Network Operations and Management Symposium.
Boch, M., Hirsch, C., Susaki, Y., Gindl, S., Tauber, M. (2024). Harvesting Innovation: Analysis of Decentralized MAPE-K Loops in Cyber-Physical Production Systems. IFIP/IEEE NOMS 2024.
Dimitrakopoulos, G., Varga, P., Gutt, T., Schneider, G., Ehm, H., Hoess, A., Tauber, M., Karathanasopoulou, K., Lackner, A., Delsing, J. (2024). Industry 5.0: Research Areas and Challenges With Artificial Intelligence and Human Acceptance. IEEE Industrial Electronics Magazine.
Ghafourian, Y., Tauber, M., Schneider, G., Bannert, A., Kattan, O., Schoitsch, E. (2024). Engineering Secure, Trustworthy, and Ethically Sound AI-Based Computer Systems, ERCIM News 139 Software Security Special Theme p. 49-50.
Kupsa, R., Anjomshoaa, A., Tauber, M. (2024). Connected Aquaponics: Sustainable Agriculture through Industry 5.0 Technologies and Circular Economy Principles. ERCIM News 139 Software Security Special Theme, p. 39-41.
Perez-Cerrolaza, J., Abella, J., Borg, M., Donzella, C., Cerquides, J., Cazorla, F. J., Englund, C., Tauber, M., Nikolakopoulos, G., Flores, J. L. Artificial intelligence for safety-critical systems in industrial and transportation domains: A survey ACM Computing Systems 56, 1-40.
Moster, T., Wolfhartsberger J., Sorko, S. R., & Naim, B. A. (2024). Extended Reality Based Education and Training for Human Centric Industry 5.0 Skill Enhancment. In. NOMS 2024-2024 IEEE Network Operations and Management Symposium, 1-4.
Tauber M., Gollan C., Schmittner C. & Knopf P. (2023): Passive Precision Farming Reshapes the Agricultural Sector. In: IEEE Computer, Vol. 56, Nr. 01, S. 120-124.
Hegedus C., Franko A., Varga P., Gindl S. & Tauber M. (2023): Enabling Scalable Smart Vertical Farming with IoT and Machine Learning Technologies. In: IEEE / IFIP NOMS 2022 Workshops – MFI4.0.
