首页|Studies from Texas A&M University Reveal New Findings on Machine Le arning (Flooddamagecast: Building Flood Damage Nowcasting With Machine-learning and Data Augmentation)
Studies from Texas A&M University Reveal New Findings on Machine Le arning (Flooddamagecast: Building Flood Damage Nowcasting With Machine-learning and Data Augmentation)
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 reportingfrom College Station, Texas, by New sRx journalists, research stated, “Near-real-time estimation ofdamages (a.k.a, damage nowcasting) to building and infrastructure is crucial during response and recoveryefforts. Despite advancements in flood risk predictions, the majority of existing methods primarily focuson inundation estimation with limited damage nowcasting capabilities.”
College StationTexasUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningTexa s A&M University
NETL
NSTL
