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Machine Learning for Cyber Physical Systems
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  • Title Machine Learning for Cyber Physical Systems
  • Author(s) Jurgen Beyerer (Editor), Christian Kuhnert (Editor), Oliver Niggemann (Editor)
  • Publisher: Springer Vieweg; 1st ed. 2019 edition (December 18, 2018)
  • License(s): CC BY 4.0
  • Hardcover 233 pages
  • eBook PDF
  • Language: English
  • ISBN-10: 3662584840
  • ISBN-13: 978-3662584842
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Book Description

This Open Access proceedings 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 Karlsruhe, October 23-24, 2018.

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
  • Jurgen Beyerer is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology.
  • Christian Kuhnert is a senior researcher at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB.
  • Oliver Niggemann is Professor for Artificial Intelligence in Automation.
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