首页|Reports from Czech Technical University Describe Recent Advances in Machine Lear ning (Machine-learning-based Optimal Cooperating Node Selection for Internet of Underwater Things)
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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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.”
PragueCzech RepublicEuropeCyborgsEmerging TechnologiesMachine LearningCzech Technical University
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