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

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
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.”

StanfordCaliforniaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningStanfo rd University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.7)