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Machine Learning for Cyber Physical Systems

Selected papers from the International Conference ML4CPS 2015

  • Conference proceedings
  • © 2016


  • Includes the full proceedings of the 2015 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
  • Includes supplementary material:

Part of the book series: Technologien für die intelligente Automation (TIA)

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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 1-2, 2015.

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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Table of contents (14 papers)

Editors and Affiliations

  • inIT, Hochschule Ostwestfalen-Lippe, Lemgo, Germany

    Oliver Niggemann

  • IOSB, Fraunhofer, Karlsruhe, Germany

    Jürgen Beyerer

About the editors

Prof. Dr. Oliver Niggemann ist seit November 2008 Mitglied des inIT. Er vertritt das Fachgebiet Embedded Software Engineering in der Lehre und forscht im inIT in den Bereichen Verteilte Echtzeit-Software und der Analyse und Diagnose verteilter Systeme. Gleichzeitig forscht Prof. Niggemann im Fraunhofer-Anwendungszentrum Industrial Automation (INA) in Lemgo.

Prof. Dr.-Ing. Jürgen Beyerer ist in Personalunion Inhaber des Lehrstuhls für Interaktive Echtzeitsysteme an der Fakultät für Informatik und Leiter des Fraunhofer IOSB. Die Schwerpunkte in Forschung und Lehre am Lehrstuhl für Interaktive Echtzeitsysteme liegen auf den Themen: automatische Sichtprüfung und Bildauswertung, Mustererkennung und Signal- und Informationsverarbeitung.

Bibliographic Information

  • Book Title: Machine Learning for Cyber Physical Systems

  • Book Subtitle: Selected papers from the International Conference ML4CPS 2015

  • Editors: Oliver Niggemann, Jürgen Beyerer

  • Series Title: Technologien für die intelligente Automation

  • DOI:

  • Publisher: Springer Vieweg Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2016

  • Softcover ISBN: 978-3-662-48836-2Published: 20 February 2016

  • eBook ISBN: 978-3-662-48838-6Published: 19 February 2016

  • Series ISSN: 2522-8579

  • Series E-ISSN: 2522-8587

  • Edition Number: 1

  • Number of Pages: VI, 121

  • Number of Illustrations: 12 illustrations in colour

  • Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Knowledge Management

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