Robotics & Machine Learning Daily News2024,Issue(Aug.7) :38-38.

New Findings from Stanford University in the Area of Machine Learning Reported ( Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.7) :38-38.

New Findings from Stanford University in the Area of Machine Learning Reported ( Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Stanford, California, by NewsRx editors, research stated, “The intensity of an atmosphericriver (AR) is only one of the factors influencing the damage it will cause. We use random forest models fitto hazard, exposure, and vulnerability data at different spati al and temporal scales in California to predictthe probability that a given AR event will cause flood damage, as measured by National Flood InsuranceProgram ( NFIP) claims.”

Key words

Stanford/California/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Stanfo rd University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文