Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 61,38
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 76,54
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 75 pages. 9.25x6.10x0.16 inches. In Stock.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030685667 ISBN 13: 9783030685669
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater's key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition, the authors present applications of machine learning techniques for opportunistic communication and underwater localization. They also discuss the current challenges of machine learning modeling of underwater communication from two communication engineering and data science perspectives.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Machine Learning Modeling for IoUT Networks | Internet of Underwater Things | Ahmad A. Aziz El-Banna (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xii | Englisch | 2021 | Springer | EAN 9783030685669 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater¿s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition, the authors present applications of machine learning techniques for opportunistic communication and underwater localization. They also discuss the current challenges of machine learning modeling of underwater communication from two communication engineering and data science perspectives.
Softcover. Zustand: gut. 2021. Machine Learning Modeling for IoUT Networks In deutscher Sprache. pages.