首页|University of Florence Reports Findings in Machine Learning (Shifting from tradi tional landslide occurrence modeling to scenario estimation with a 'glass-box' m achine learning)
University of Florence Reports Findings in Machine Learning (Shifting from tradi tional landslide occurrence modeling to scenario estimation with a 'glass-box' m achine learning)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Florence, It aly, by NewsRx correspondents, research stated, “Extreme rainfallevents represe nt one of the main triggers of landslides. As climate change continues to reshap e globalweather patterns, the frequency and intensity of such events are increa sing, amplifying landslide occurrencesand associated threats to communities.”
FlorenceItalyEuropeCyborgsEmergi ng TechnologiesMachine Learning