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Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015 (Technologien für die intelligente Automation) - Softcover
Synopsis
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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About the Author
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.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
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Machine Learning for Cyber Physical Systems. Selected papers from the International Conference ML4CPS 2015.
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Berlin, Springer Verlag., 2016
ISBN 10: 3662488361
ISBN 13: 9783662488362
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Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015 (Technologien für die intelligente Automation)
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Machine Learning for Cyber Physical Systems ML4CPS
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ISBN 10: 3662488361
ISBN 13: 9783662488362
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Machine Learning for Cyber Physical Systems
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Springer Berlin Heidelberg Feb 2016, 2016
ISBN 10: 3662488361
ISBN 13: 9783662488362
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 128 pp. Englisch. Seller Inventory # 9783662488362
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Machine Learning for Cyber Physical Sys (Technologien Fur Die Intelligente Automation)
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Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2015
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ISBN 10: 3662488361
ISBN 13: 9783662488362
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783662488362
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Machine Learning for Cyber Physical Sys (Technologien Fur Die Intelligente Automation)
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Machine Learning for Cyber Physical Sys (Technologien Fur Die Intelligente Automation)
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Machine Learning for Cyber Physical Systems
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Taschenbuch. Condition: Neu. Neuware -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.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 128 pp. Englisch. Seller Inventory # 9783662488362
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Machine Learning for Cyber Physical Systems: Selected Papers from the International Conference Ml4cps 2015
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