Description
Machine Learning Modeling for IoUT Networks, 1st ed. 2021
Internet of Underwater Things
SpringerBriefs in Computer Science Series
Authors: Aziz El-Banna Ahmad A., Wu Kaishun
Language: EnglishSubject for Machine Learning Modeling for IoUT Networks:
52.74 €
In Print (Delivery period: 15 days).
Add to cart the book of Aziz El-Banna Ahmad A., Wu Kaishun63 p. · 15.5x23.5 cm · Paperback
Description
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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.
Presents the basics of the Internet of Underwater Things (IoUT) architecture and underwater transmission
Includes applications of machine learning techniques for underwater communication
Features open challenges in the two perspectives of communication and machine learning for underwater networking