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English | 75 pages | Springer; 1st ed. 2021 edition (May 30, 2021) | 3030685667 | EPUB,PDF | 10.85 Mb
Machine Learning Modeling For IoUT Networks Internet Of Underwater Things SpringerBriefs In Computer Science (Ahmad A. Aziz El-Banna, Kaishun Wu) (2021) English
Catergory: Computer Technology, Technology, Engineering, Nonfiction
Quote: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.
🌞 Contents of Download:
📌 3030685667.epub (Ahmad A. Aziz El-Banna, Kaishun Wu) (2021) (9.22 MB)
📌 3030685667.pdf (Ahmad A. Aziz El-Banna) (2021) (2.13 MB)
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⭐️ Machine Learning Modeling For IoUT Networks Internet Of Underwater Things SpringerBriefs In Computer Science ✅ (11.35 MB)
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