Editore: Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 210,32
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Editore: Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 210,31
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Editore: Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 217,57
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Editore: Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 232,98
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 231,72
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Editore: Engineering Science Reference, 2021
ISBN 10: 179988161X ISBN 13: 9781799881612
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 275,46
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 211,80
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 219,95
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 221,83
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analysing evolving trends in health informatics and comp.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 277,27
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 288,06
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Engineering Science Reference, 2021
ISBN 10: 1799881628 ISBN 13: 9781799881629
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 274,85
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.
Editore: Engineering Science Reference, 2021
ISBN 10: 179988161X ISBN 13: 9781799881612
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 289,46
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learn.
Editore: Engineering Science Reference, 2021
ISBN 10: 179988161X ISBN 13: 9781799881612
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 358,61
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.