首页|Recent Research from Ocean University of China Highlight Findings in Machine Lea rning (Assessing the Strength of Deep-sea Surface Ultrasoft Sediments With T-bar Penetration: a Machine Learning Approach)
Recent Research from Ocean University of China Highlight Findings in Machine Lea rning (Assessing the Strength of Deep-sea Surface Ultrasoft Sediments With T-bar Penetration: a Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Qingdao, People’s Repu blic of China, by NewsRx editors, research stated, “With theexpansion of marine resource utilization, geological disaster prediction, and ecological protection in deepsearegions, accurate identification of deep-sea engineering geological environments has become paramount,highlighting the significance of understandi ng the mechanical characteristics of deep-sea surface ultrasoftsediments (DSUSs ). However, DSUSs typically exhibit low strength, high compressibility, and sign ificantfluidity, making sampling for indoor strength testing a challenging task .”
QingdaoPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesEngineeringMachine LearningOcean Universi ty of China
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