Machine learning for cyber physical systems
Proceedings of the Conference ML4CPS 2024
Publication date
2024-07-12
Document type
Konferenzband oder Tagungsband
Editor
Organisational unit
Fraunhofer Institut für Optronik, Systemtechnik und Bildauswertung
Publisher
UB HSU
Contains the following part
Part of the university bibliography
✅
File(s)
Language
English
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.
Description
This book is licensed under the terms of the Creative Commons Attribution 4.0 International License, which means you are free to use, share, adapt, distribute, and reproduce it in any medium or format, as long as you give appropriate credit to the original author(s). You can find more information at http://creativecommons.org/licenses/by/4.0/
Version
Published version
Access right on openHSU
Open access