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Machine Learning for Cyber Physical Systems. Selected papers from the International Conference ML4CPS 2018

Selected papers from the International Conference ML4CPS 2018, Karlsruhe, October 23rd and 24th, 2018
 
: Beyerer, Jürgen; Kühnert, Christian; Niggemann, Oliver

:
Volltext urn:nbn:de:0011-h-731207 (8.8 MByte PDF)
MD5 Fingerprint: 1af02808d44a6913a63be326650c4a52
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Erstellt am: 26.3.2019


Berlin: Springer Vieweg, 2019, 136 S.
Technologies for Intelligent Automation, 9
Conference on Machine Learning for Cyber-Physical-Systems and Industry 4.0 (ML4CPS) <4, 2018, Karlsruhe>
ISBN: 978-3-662-58484-2 (Print)
ISBN: 978-3-662-58485-9 (Online)
Englisch
Tagungsband, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
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.

: http://publica.fraunhofer.de/dokumente/H-73120.html