首页|Researchers from China Geology Survey Describe Findings in Machine Learning (Sma ll-scale, Large Impact: Utilizing Machine Learning To Assess Susceptibility To U rban Geological Disasters-a Case Study of Urban Road Collapses In Hangzhou)
Researchers from China Geology Survey Describe Findings in Machine Learning (Sma ll-scale, Large Impact: Utilizing Machine Learning To Assess Susceptibility To U rban Geological Disasters-a Case Study of Urban Road Collapses In Hangzhou)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingoriginating from Nanjing, People’s Repub lic of China, by NewsRx correspondents, research stated, “Comparedwith large-sc ale geological disasters such as landslides and earthquakes, small-scale urban g eologicaldisasters such as collapses and ground fissures are often overlooked. However, the socioeconomic impactsof these small-scale events can often exceed those of larger disasters in major cities.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChina Geology Survey
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