Machine Learning for Cyber Physical Systems

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Machine Learning for Cyber Physical Systems is written by Jürgen Beyerer and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3662627469 (ISBN 10) and 9783662627464 (ISBN 13).

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.