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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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Edition | Availability |
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1
Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2018
2019, Springer Nature
3662584859 9783662584859
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2
Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2018
Dec 18, 2018, Springer Vieweg
paperback
3662584840 9783662584842
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3
Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2016
Dec 29, 2016, Beyerer Jurgen, Springer Vieweg
paperback
3662538059 9783662538050
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4
Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015
Mar 22, 2016, Springer Vieweg
paperback
3662488361 9783662488362
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5
Machine Learning for Cyber Physical Systems: Selected Papers from the International Conference ML4CPS 2015
2015, Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH
in English
3662488388 9783662488386
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Book Details
Edition Notes
Open Access Unrestricted online access
Creative Commons https://creativecommons.org/licenses/by/4.0
English
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- Created November 16, 2020
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