Machine learning for cyber-physical systems: selected papers from the international conference ML4CPS 2023

Machine learning for cyber-physical systems: selected papers from the international conference ML4CPS 2023

Author
Oliver Niggemann, Jürgen Beyerer, Maria Krantz & Christian Kühnert ...
Publication Year
2024
Publisher
springer
Language
English
Document Type
Book
Faculty / Subject Heading
Computer Science

Contains selected papers from the international conference ML4CPS – Machine Learning for Cyber-Physical Systems, which was held in Hamburg (Germany), from 29 to 31 March 2023. Cyber-physical systems are adaptive and learning: they analyze their environment and, based on observations, learn patterns, associations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnostics. Machine learning is the key technology for these developments.


Keywords: Applied mathematics / Artificial intelligence / Information theory / Machine learning / Computer input-output equipment / Mathematics