首页|Studies from University of Tanjungpura Describe New Findings in Machine Learning (Flood Impact Assessment In Remote Areas Using Machine Learning, Sar, and Gis: a Case Study of Ngabang District, Indonesia)
Studies from University of Tanjungpura Describe New Findings in Machine Learning (Flood Impact Assessment In Remote Areas Using Machine Learning, Sar, and Gis: a Case Study of Ngabang District, Indonesia)
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 – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Pontianak, Indonesia , by NewsRx journalists, research stated, “Flooding in remote regionspresents s ignificant challenges due to data scarcity, complicating impact assessment and m itigation efforts.This research delineates an integrated methodology for quanti fying flood impacts in such contexts.”
PontianakIndonesiaAsiaAsiaCyborg sEmerging TechnologiesIndonesiaMachine LearningUniversity of Tanjungpura