Overview
- This book is open access, which means that you have free and unlimited access
- Includes the full proceedings of the 2020 ML4CPS – Machine Learning for Cyber Physical Systems Conference
- Presents recent and new advances in automated machine learning methods
- Provides an accessible and succinct overview on machine learning for cyber physical systems, industry 4.0 and IOT
Part of the book series: Technologien für die intelligente Automation (TIA, volume 13)
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Table of contents (13 papers)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
About the editors
Prof. 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.
Prof. Oliver Niggemann got his doctorate in 2001 at the University of Paderborn with the topic "Visual Data Mining of Graph-Based Data". He then worked for almost 8 years in leading positions in the industry. From 2008-2019 he held a professorship at the Institute for Industrial Information Technologies (inIT) in Lemgo/Germany. Until 2019 Prof. Niggemann was also deputy head of the Fraunhofer IOSB-INA, which worksin industrial automation. On April 1, 2019 Prof. Niggemann took over the university professorship "Computer Science in Mechanical Engineering" at the Helmut-Schmidt-University in Hamburg / Germany. There he does research at the Institute for Automation Technology IfA in the field of artificial intelligence and machine learning for cyber-physical systems.
Bibliographic Information
Book Title: Machine Learning for Cyber Physical Systems
Book Subtitle: Selected papers from the International Conference ML4CPS 2020
Editors: Jürgen Beyerer, Alexander Maier, Oliver Niggemann
Series Title: Technologien für die intelligente Automation
DOI: https://doi.org/10.1007/978-3-662-62746-4
Publisher: Springer Vieweg Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2021
Softcover ISBN: 978-3-662-62745-7Published: 24 December 2020
eBook ISBN: 978-3-662-62746-4Published: 23 December 2020
Series ISSN: 2522-8579
Series E-ISSN: 2522-8587
Edition Number: 1
Number of Pages: VII, 130
Number of Illustrations: 17 b/w illustrations, 25 illustrations in colour
Topics: Cyber-physical systems, IoT, Communications Engineering, Networks, Computer Systems Organization and Communication Networks