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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer Vieweg 2019-04-10, 2019
ISBN 10: 3662590832 ISBN 13: 9783662590836
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In den WarenkorbPaperback. Zustand: New.
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In den WarenkorbPaperback. Zustand: Brand New. 96 pages. 9.45x6.61x0.22 inches. In Stock.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2019
ISBN 10: 3662590832 ISBN 13: 9783662590836
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In den WarenkorbKartoniert / Broschiert. Zustand: New.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2019
ISBN 10: 3662590832 ISBN 13: 9783662590836
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Taschenbuch. Zustand: 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 25th-26th, 2017.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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In den WarenkorbZustand: new. Questo è un articolo print on demand.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg Apr 2019, 2019
ISBN 10: 3662590832 ISBN 13: 9783662590836
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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 25th-26th, 2017.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. 96 pp. Englisch.
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In den WarenkorbZustand: New. Print on Demand pp. 94.
Zustand: New. PRINT ON DEMAND pp. 94.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. 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 25th-26th, 2017.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-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 96 pp. Englisch.