Machine Learning Modeling for IoUT Networks

Internet of Underwater Things de

,

Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2021-05-29

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Description
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.
Pages
63 pages
Collection
SpringerBriefs in Computer Science
Parution
2021-05-29
Marque
Springer
EAN papier
9783030685669
EAN PDF
9783030685676

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
2212 Ko
Prix
52,74 €
EAN EPUB
9783030685676

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
6
Taille du fichier
9441 Ko
Prix
52,74 €