Robotics & Machine Learning Daily News2024,Issue(Dec.20) :82-83.

Studies from Texas A&M University Reveal New Findings on Machine Le arning (Flooddamagecast: Building Flood Damage Nowcasting With Machine-learning and Data Augmentation)

Robotics & Machine Learning Daily News2024,Issue(Dec.20) :82-83.

Studies from Texas A&M University Reveal New Findings on Machine Le arning (Flooddamagecast: Building Flood Damage Nowcasting With Machine-learning and Data Augmentation)

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Abstract

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.”

Key words

College Station/Texas/United States/N orth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Texa s A&M University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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