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  4. Machine Learning for Cyber Physical Systems. Proceedings of the Conference ML4CPS 2025
 
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2025
Conference Proceeding
Title

Machine Learning for Cyber Physical Systems. Proceedings of the Conference ML4CPS 2025

Title Supplement
March 6th to 7th, 2025, Berlin
Abstract
Cyber Physical Systems are characterized by their ability to adapt and learn from their environment. Applications include advanced condition monitoring, predictive maintenance, diagnosis tasks, and many other areas. All these applications have in common that Machine Learning and Artificial Intelligence are the key technologies. However, applying ML and AI to CPS poses challenges such as limited data, less understood algorithms, and the need for high algorithm reliability. These topics were a focal point at the 8th ML4CPS-Machine Learning for Cyber-Physical Systems Conference in Berlin, held from March 6th to 7th, where industry and research experts discussed current advancements and new developments.
Editor(s)
Niggemann, Oliver
Beyerer, Jürgen  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Kampker, Achim
Li, Rui Yan
Fey, Görschwin
Kritl, Alois
Diedrich, Alexander  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Kühnert, Christian  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Corporate Author
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Publisher
Universitätsbibliothek der HSU
Conference
Machine Learning for Cyber-Physical Systems Conference 2025  
Open Access
File(s)
Download (6.45 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24405/20018
10.24406/publica-4776
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
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