Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 156,69
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Editore: Springer Nature Singapore, Springer Nature Singapore Jan 2019, 2019
ISBN 10: 9811332088 ISBN 13: 9789811332081
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 149,79
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes, smart vehicles, augmented reality and transportation management.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 88 pp. Englisch.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811332088 ISBN 13: 9789811332081
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 156,28
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes, smart vehicles, augmented reality and transportation management.This book explores the research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics. It surveys global research advances in extending the conventional unsupervised or clustering algorithms, extending supervised and semi-supervised algorithms and association rule mining algorithms to big data Scenarios. Further it discusses the deep learning applications of big data analytics to fields of computer vision and speech processing, and describes applications such as semantic indexing and data tagging. Lastly it identifies 25 unsolved research problems and research directions in fog computing, as well as in the context of applying deep learning techniques to big data analytics, such as dimensionality reduction in high-dimensional data and improved formulation of data abstractions along with possible directions for their solutions.
Da: Books Puddle, New York, NY, U.S.A.
EUR 190,68
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 151,10
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Da: Revaluation Books, Exeter, Regno Unito
EUR 220,88
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Aggiungi al carrelloHardcover. Condizione: Brand New. 71 pages. 9.25x6.25x0.25 inches. In Stock.
Da: moluna, Greven, Germania
EUR 127,40
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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 a comprehensive overview of fog computing technologyExplores research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analyticsIdentifies several unsolved researc.
Editore: Springer Nature Singapore Jan 2019, 2019
ISBN 10: 9811332088 ISBN 13: 9789811332081
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes, smart vehicles, augmented reality and transportation management.This book explores the research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics. It surveys global research advances in extending the conventional unsupervised or clustering algorithms, extending supervised and semi-supervised algorithms and association rule mining algorithms to big data Scenarios. Further it discusses the deep learning applications of big data analytics to fields of computer vision and speech processing, and describes applications such as semantic indexing and data tagging. Lastly it identifies 25 unsolved research problems and research directions in fog computing, as well as in the context of applying deep learning techniques to big data analytics, such as dimensionality reduction in high-dimensional data and improved formulation of data abstractions along with possible directions for their solutions. 88 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 196,63
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 202,85
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.