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Synopsis
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.
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À propos de l?auteur
Ahmad A. Aziz El-Banna received his Master's degree in 2011 from Benha University and his Ph.D in 2014 from Egypt-Japan University of Science & Technology. Since June 2018, he has been a postdoctoral fellow at Shenzhen University, China. He also holds the position of an assistant professor at Benha University, Egypt. He served as a visiting researcher at Osaka University at Japan (2013-2014). His research interests include cooperative networking, MIMO, space-time coding, IoT, machine learning, and underwater communication.
Kaishun Wu received the Ph.D. degree in computer science and engineering from HKUST in 2011. After that, he worked as a Research Assistant Professor with HKUST. In 2013, he joined SZU as a Distinguished Professor. He has coauthored two books and published over 100 high quality research articles in international leading journals and primer conferences, such as IEEE TMC, IEEE TPDS, ACM MobiCom, and IEEE INFOCOM. He is also the inventor of 6 U.S. and over 90 Chinese pending patents. He is a fellow of IET. He received the 2012 Hong Kong Young Scientist Award and the 2014 Hong Kong ICT Awards: Best Innovation and 2014 IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award.
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Machine Learning Modeling for IoUT Networks : Internet of Underwater Things
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030685667
ISBN 13 : 9783030685669
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 76 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 37921482/1
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Machine Learning Modeling for IoUT Networks
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030685667
ISBN 13 : 9783030685669
Neuf
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the basics of the Internet of Underwater Things (IoUT) architecture and underwater transmissionIncludes applications of machine learning techniques for underwater communicationFeatures open challenges in the two perspectives of com. N° de réf. du vendeur 458552489
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Machine Learning Modeling for IoUT Networks : Internet of Underwater Things
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030685667
ISBN 13 : 9783030685669
Neuf
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783030685669
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Machine Learning Modeling for IoUT Networks
Edité par
Springer International Publishing Mai 2021, 2021
ISBN 10 : 3030685667
ISBN 13 : 9783030685669
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 76 pp. Englisch. N° de réf. du vendeur 9783030685669
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Machine Learning Modeling for IoUT Networks: Internet of Underwater Things (SpringerBriefs in Computer Science)
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Machine Learning Modeling for Iout Networks: Internet of Underwater Things (Paperback or Softback)
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ISBN 10 : 3030685667
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Paperback or Softback. Etat : New. Machine Learning Modeling for Iout Networks: Internet of Underwater Things 0.26. Book. N° de réf. du vendeur BBS-9783030685669
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Machine Learning Modeling for IoUT Networks: Internet of Underwater Things (SpringerBriefs in Computer Science)
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Machine Learning Modeling for IoUT Networks : Internet of Underwater Things
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Machine Learning Modeling for IoUT Networks
ISBN 10 : 3030685667
ISBN 13 : 9783030685669
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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 76 pp. Englisch. N° de réf. du vendeur 9783030685669
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Machine Learning Modeling for Iout Networks : Internet of Underwater Things
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