首页|China Geological Survey Reports Findings in Machine Learning (Advanced susceptib ility analysis of ground deformation disasters using large language models and m achine learning: A Hangzhou City case study)
China Geological Survey Reports Findings in Machine Learning (Advanced susceptib ility analysis of ground deformation disasters using large language models and m achine learning: A Hangzhou City case study)
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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 news reporting out of Nanjing, People’s Repu blic of China, by NewsRx editors, research stated, “To addressthe prevailing sc enario where comprehensive susceptibility assessments of ground deformation disa stersprimarily rely on knowledge-driven models, with weight judgments largely f ounded on expert subjectiveassessments, this study initially explores the feasi bility of integrating data-driven models into the evaluationof urban ground col lapse and subsidence. Hangzhou city, characterized by filled soil and silty sand , wasselected as the representative study area.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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