首页|Findings from Yunnan University Yields New Findings on Machine Learning (A Compr ehensive Framework for Assessing the Spatial Drivers of Flood Disasters Using an Optimal Parameter-based Geographical Detector- Machine Learning Coupled Model)
Findings from Yunnan University Yields New Findings on Machine Learning (A Compr ehensive Framework for Assessing the Spatial Drivers of Flood Disasters Using an Optimal Parameter-based Geographical Detector- Machine Learning Coupled Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Kunming, People’s Republic of China , by NewsRx journalists, research stated, “Flood disasters pose serious threats to human life and property worldwide. Exploring the spatial drivers of flood dis asters on a macroscopic scale is of great significance for mitigating their impa cts.” Financial supporters for this research include National Key Research & Development Program of China, Yunnan Province Key Research and Devel-opment Prog ram, National Natural Science Foundation of China (NSFC), Applied Basic Research Programs of Yunnan Province.
KunmingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningYunnan University
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