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Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015
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Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015 (Paperback)

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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.

BusinessBusiness & managementManagement & management techniquesManagement of specific areas & peopleComputing & ITComputer scienceArtificial intelligenceMachine learningComputing & ITDatabasesData mining Publisher: Springer Fachmedien Wiesbaden Publication Date: 20/02/2016 ISBN-13: 9783662488362  Details: Type: Paperback Format: Books
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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. Jurgen Beyerer ist in Personalunion Inhaber des Lehrstuhls fur Interaktive Echtzeitsysteme an der Fakultat fur Informatik und Leiter des Fraunhofer IOSB. Die Schwerpunkte in Forschung und Lehre am Lehrstuhl fur Interaktive Echtzeitsysteme liegen auf den Themen: automatische Sichtprufung und Bildauswertung, Mustererkennung und Signal- und Informationsverarbeitung.

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