首页|Findings from Xinjiang University Reveals New Findings on Machine Learning (Eval uation of the Collapse Susceptibility of Loess Using Machine Learning)
Findings from Xinjiang University Reveals New Findings on Machine Learning (Eval uation of the Collapse Susceptibility of Loess Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Urumqi, People’s Repu blic of China, by NewsRx journalists, research stated, “Evaluatingcollapse susc eptibility of loess is essential for the construction of transportation lines in loess regions as itprovides guidance for ground treatment. For the existing me thods, a large number of boreholes need tobe drilled along transportation lines to collect intact samples for laboratory tests, which make them verytime and c ost-consuming.”
UrumqiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXinjiang University
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