Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018
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. Cyb...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Nature
2019
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| Series: | Technologien für die intelligente Automation
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| Subjects: | |
| Online Access: | |
| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| Summary: | 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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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by/4.0 |
| Physical Description: | 1 electronic resource (136 p.) |
| ISBN: | 978-3-662-58485-9 |