1. Machine Learning for Cyber Physical Systems. Selected papers from the International Conference ML4CPS 2020.
- Author
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Beyerer, Jürgen, Beyerer, Jürgen, Maier, Alexander, and Niggemann, Oliver
- Subjects
Communications engineering / telecommunications ,Computer networking & communications ,Electrical engineering ,Artificial Intelligence ,Cognitive Robotics ,Communications Engineering, Networks ,Computational intelligence ,Computer Engineering and Networks ,Computer Systems Organization and Communication Networks ,Computer-based algorithms ,Cyber-Physical Systems ,Cyber-physical systems, IoT ,Cybernetics & systems theory ,Industry 4.0 ,Internet of Things ,Machine Learning ,Open Access ,Smart grid - Abstract
Summary: This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.