Study Findings on Machine Learning Reported by Researchers at Beijing Normal Uni versity (Assessment of Direct Economic Loss Levels Caused by Tropical Cyclone Di sasters in County-Level Using Machine Learning: A Case Study of Fujian Province)

Robotics & Machine Learning Daily News2024，Issue(Jul.9) ：83-84.

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Study Findings on Machine Learning Reported by Researchers at Beijing Normal Uni versity (Assessment of Direct Economic Loss Levels Caused by Tropical Cyclone Di sasters in County-Level Using Machine Learning: A Case Study of Fujian Province)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Beijing Normal Univers ity by NewsRx correspondents, research stated, “China is frequently affectedby tropical cyclones, which can lead to severe economic losses. Rapid disaster loss assessment is crucialfor effective emergency response. A variety of factors af fect tropical cyclone disaster losses, which can beroughly categorized into haz ard, exposure, and vulnerability.”

Key words

Beijing Normal University/Asia/China/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

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