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Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031470613 ISBN 13: 9783031470615
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Paperback. Condizione: new. Paperback. 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 Hamburg (Germany), March 29th to 31st, 2023. 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.This is an open access book. This open access proceedings presents new approaches to Machine Learning for Cyber-Physical Systems, experiences and visions. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloCondizione: Good. Plaza & Janés. Encuadernación en tapa dura. Krantz, Judith; Fuente, Ana María de la Scruples Tapa ilustrada. Pags.512. Volúmenes.1.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 137 pages. 9.44x6.62x8.80 inches. In Stock.
Lingua: Inglese
Editore: Springer Nature Switzerland, 2024
ISBN 10: 3031470613 ISBN 13: 9783031470615
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ISBN 10: 3031470613 ISBN 13: 9783031470615
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - This open access proceedings presents new approaches to Machine Learning for Cyber-Physical Systems, experiences and visions. Itcontains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber-Physical Systems, which was held in Hamburg (Germany), March 29th to 31st, 2023.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.This is an open access book.
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 140.
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 140.
Lingua: Inglese
Editore: Springer, Springer Jun 2024, 2024
ISBN 10: 3031470613 ISBN 13: 9783031470615
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 Hamburg (Germany), March 29th to 31st, 2023.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.This is an open access book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 140 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning for Cyber-Physical Systems | Selected papers from the International Conference ML4CPS 2023 | Oliver Niggemann (u. a.) | Taschenbuch | Technologien für die intelligente Automation | viii | Englisch | 2024 | Springer | EAN 9783031470615 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.