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Machine Learning for Cyber Physical Systems

  • Category: Computer
  • Author: Jurgen Beyerer (Editor), Christian Kuhnert (Editor), Oliver Niggemann (Editor)
  • License: CC BY 4.0
  • Pages: 233 pages
  • File type: PDF

Read and download free eBook intituled Machine Learning for Cyber Physical Systems in format PDF – 233 pages created by Jurgen Beyerer (Editor), Christian Kuhnert (Editor), Oliver Niggemann (Editor).

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.

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Machine Learning for Cyber Physical Systems

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