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2024
Conference Proceeding
Title

ML4CPS 2024 - Machine Learning for Cyber-Physical Systems

Title Supplement
Proceedings of the Conference ML4CPS 2024, Berlin, March 21-22, 2024
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 7th ML4CPS - Machine Learning for Cyber-Physical Systems Conference in Berlin, held from the 20th to the 21st, 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  
Diedrich, Alexander  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Kühnert, Christian  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Windmann, Alexander
Corporate Author
Helmut-Schmidt-Universität  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Publisher
Helmut-Schmidt-Universität  
Conference
Machine Learning for Cyber Physical Systems Conference 2024  
Open Access
File(s)
Download (23.76 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24405/16610
10.24406/h-465781
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
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