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Publicado por Springer International Publishing AG, Cham, 2024
ISBN 10: 3031470613 ISBN 13: 9783031470615
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Añadir al carritoPaperback. Condición: 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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Añadir al carritoCondición: Good. Plaza & Janés. Encuadernación en tapa blanda. Krantz, Judith; Fuente, Ana María de la Princesa Daisy Tapa deslucida. Tapa ilustrada. Pags.475. Volúmenes.1.
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Añadir al carritoCondición: Good. Plaza & Janés. Encuadernación en tapa blanda. Krantz, Judith; Fuente, Ana María de la Princesa Daisy Tapa deslucida. Tapa ilustrada. Pags.475. Volúmenes.1.
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Añadir al carritoPaperback. Condición: Brand New. 137 pages. 9.44x6.62x8.80 inches. In Stock.
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Publicado por Springer Nature Switzerland, 2024
ISBN 10: 3031470613 ISBN 13: 9783031470615
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Publicado por Springer, Springer International Publishing Jun 2024, 2024
ISBN 10: 3031470613 ISBN 13: 9783031470615
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Añadir al carritoTaschenbuch. Condición: 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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Añadir al carritoCondición: New. Print on Demand pp. 140.
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 140.
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Publicado por Springer, Springer Jun 2024, 2024
ISBN 10: 3031470613 ISBN 13: 9783031470615
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Añadir al carritoTaschenbuch. Condición: 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.