Machine Learning for Cyber-Physical Systems Selected papers from the International Conference ML4CPS 2023

• Main Authors: Niggemann, Oliver, Beyerer, Jürgen, Krantz, Maria, Kühnert, Christian
• Format: eBook
• Language: English
• Published: Cham Springer Nature 2024; Springer
• Edition: 1
• Series: Technologien für die intelligente Automation
• Subjects: Applied mathematics; Artificial intelligence; Automatic validation; Computer hardware; Computer science; Computing and Information Technology; Cyber-physical systems; Cybernetics and systems theory; Electronics and communications engineering; Electronics engineering; Information theory; Machine learning; Mathematical modelling; Mathematics; Mathematics and Science; Network architecture; Neural networks; Reference, Information and Interdisciplinary subjects; Research and information: general; Technology, Engineering, Agriculture, Industrial processes

This open access proceedings presents new approaches to Machine Learning for Cyber-Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber-Physical Systems, which was held in Hamburg (Germany), March 29th to 31...