首页|Findings from Yunnan University Provide New Insights into Machine Learning (Debr is Flow Susceptibility Mapping In Alpine Canyon Region: a Case Study of Nujiang Prefecture)
Findings from Yunnan University Provide New Insights into Machine Learning (Debr is Flow Susceptibility Mapping In Alpine Canyon Region: a Case Study of Nujiang Prefecture)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Kunming, People’s Repu blic of China, by NewsRx journalists, research stated, “Accuratedebris flow sus ceptibility mapping (DFSM) plays a crucial role in enabling government authoriti es todevise rational policies to mitigate the threats posed by debris flows to human life and property. NujiangPrefecture, located in the alpine canyon region , is prone to frequent debris flows in China.”
KunmingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSupport Vector MachinesYu nnan University