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Technologien für die intelligente Automation

Machine Learning for Cyber Physical Systems

Selected papers from the International Conference ML4CPS 2017

Editors: Beyerer, Jürgen, Maier, Alexander, Niggemann, Oliver (Eds.)

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  • Includes the full proceedings of the 2017 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
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eBook 41,64 €
price for Spain (gross)
  • ISBN 978-3-662-59084-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-662-59083-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

The work 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 Lemgo, October 25th-26th, 2017. 

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.


About the authors

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. Dr. Oliver Niggemann is Professor for Artificial Intelligence in Automation. His research interests are in the fields of machine learning and data analysis for Cyber-Physical Systems and in the fields of planning and diagnosis of distributed systems. He is a board member of the research institute inIT and deputy director at the Fraunhofer Application Center Industrial Automation INA located in Lemgo.


Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook 41,64 €
price for Spain (gross)
  • ISBN 978-3-662-59084-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-662-59083-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning for Cyber Physical Systems
Book Subtitle
Selected papers from the International Conference ML4CPS 2017
Editors
  • Jürgen Beyerer
  • Alexander Maier
  • Oliver Niggemann
Series Title
Technologien für die intelligente Automation
Series Volume
11
Copyright
2020
Publisher
Springer Vieweg
Copyright Holder
Springer-Verlag GmbH Germany, part of Springer Nature
eBook ISBN
978-3-662-59084-3
DOI
10.1007/978-3-662-59084-3
Softcover ISBN
978-3-662-59083-6
Series ISSN
2522-8579
Edition Number
1
Number of Pages
VII, 87
Number of Illustrations
1 b/w illustrations
Topics