Robotics & Machine Learning Daily News2024,Issue(Jul.12) :58-58.

Reports from Czech Technical University Describe Recent Advances in Machine Lear ning (Machine-learning-based Optimal Cooperating Node Selection for Internet of Underwater Things)

Robotics & Machine Learning Daily News2024,Issue(Jul.12) :58-58.

Reports from Czech Technical University Describe Recent Advances in Machine Lear ning (Machine-learning-based Optimal Cooperating Node Selection for Internet of Underwater Things)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Prag ue, Czech Republic, by NewsRx correspondents, research stated,“Multihop communi cation has gained prominence within the realm of the Internet of Underwater Things (IoUT) owing to its exceptional reliability amidst the challenges posed by th e underwater acousticenvironment. Despite this, the persistence of limitations caused by propagation delay, high collision rate,and limited energy in underwat er communication remains, representing the most formidable hurdles inensuring t he successful transmission of data gathered by sensor nodes.”

Key words

Prague/Czech Republic/Europe/Cyborgs/Emerging Technologies/Machine Learning/Czech Technical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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