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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning Modeling for Iout Networks: Internet of Underwater Things

Machine Learning Modeling for Iout Networks: Internet of Underwater Things

Aziz El-Banna, Ahmad A.
Wu, Kaishun

Paperback

Series: Springerbriefs in Computer Science

Technology & EngineeringGeneral Computers

ISBN10: 3030685667
ISBN13: 9783030685669
Publisher: Springer Nature
Published: May 30 2021
Pages: 63
Weight: 0.26
Height: 0.16 Width: 6.14 Depth: 9.21
Language: English
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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