Machine Learning for Cyber Physical Systems

Selected papers from the International Conference ML4CPS 2020

by Jürgen Beyerer, Alexander Maier, Oliver Niggemann

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Book Description

This open 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.The EditorsProf. Dr.-Ing. Jürgen Beyerer is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB.Dr. Alexander Maier is head of group Machine Learning at Fraunhofer IOSB-INA. His focus is on the development of algorithms for big data applications in Cyber-Physical Systems (diagnostics, optimization, predictive maintenance) and the transfer of research results to industry.

This open book is licensed under a Creative Commons License (CC BY). You can download Machine Learning for Cyber Physical Systems ebook for free in PDF format (5.8 MB).

Book Details

Subject
Engineering and Technology
Publisher
Springer
Published
2021
Pages
129
Edition
1
Language
English
ISBN13
9783662627457
ISBN10
3662627450
ISBN13 Digital
9783662627464
ISBN10 Digital
3662627469
PDF Size
5.8 MB
License
CC BY

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