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Machine Learning for Cyber Physical Systems

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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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Inventory Code Barcode Call Number Location Status
1908001755EB0002377006.31 MacCentral LibraryAvailable
Detail Information
Series Title
Technologien für die intelligente Automation
Call Number
006.31 Mac
Publisher
Berlian : Springer Vieweg Berlin, Heidelberg.,
Collation
vii, 136p.:Ill
Language
English
ISBN/ISSN
978-3-662-58485-9
Classification
006.31
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Machine Learning
Specific Detail Info
-
Statement of Responsibility
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No other version available

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