首页|Findings from Ministry of Education in the Area of Machine Learning Reported (Co mparative Study of Sampling Strategies for Machine Learning-based Landslide Susc eptibility Assessment)
Findings from Ministry of Education in the Area of Machine Learning Reported (Co mparative Study of Sampling Strategies for Machine Learning-based Landslide Susc eptibility Assessment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Changsha, P eople’s Republic of China, by NewsRx correspondents, researchstated, “To explor e the influence of different sampling strategies on landslide susceptibility ass essment,this study takes landslides in Taojiang County, Hunan Province, China, as the research object. Based onthree positive sample sampling methods (discret e point sampling, buffer integral sampling, and bufferdiscrete sampling) and th ree sampling resolutions (30 m, 60 m, and 90 m cell size), nine sampling strategies were combined.”
ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningMinistry of Education
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