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In den WarenkorbZustand: New. In English.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2023
ISBN 10: 3031289897 ISBN 13: 9783031289897
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In den WarenkorbPaperback. Zustand: Brand New. 333 pages. 9.25x6.10x0.70 inches. In Stock.
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Taschenbuch. Zustand: Neu. Edge Computing and IoT: Systems, Management and Security | Third EAI International Conference, ICECI 2022, Virtual Event, December 13-14, 2022, Proceedings | Zhu Xiao (u. a.) | Taschenbuch | xi | Englisch | 2023 | Springer | EAN 9783031289897 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Nature Switzerland, 2023
ISBN 10: 3031289897 ISBN 13: 9783031289897
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed post-conference proceedings of the Third International Conference on Edge Computing and IoT, ICECI 2022, held in December 13-14, 2022 in Changsha, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 22 full papers of ICECI 2022 were selected from 76 submissions and present results and ideas in the area of edge computing and IoT.
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 336 | Sprache: Englisch | Produktart: Bücher | This book constitutes the refereed post-conference proceedings of the Third International Conference on Edge Computing and IoT, ICECI 2022, held in December 13-14, 2022 in Changsha, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 22 full papers of ICECI 2022 were selected from 76 submissions and present results and ideas in the area of edge computing and IoT.