Studies from Southwest University of Science and Technology Further Understandin g of Machine Learning (Susceptibility assessment of debris flow in the upper rea ches of the Minjiang River before and after the Wenchuan earthquake)

Robotics & Machine Learning Daily News2024，Issue(Jul.19) ：63-63.

来源：

NETL
NSTL

Studies from Southwest University of Science and Technology Further Understandin g of Machine Learning (Susceptibility assessment of debris flow in the upper rea ches of the Minjiang River before and after the Wenchuan earthquake)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting originating fr om Sichuan, People’s Republic of China, by NewsRx correspondents,research state d, “Accurately and scientifically mapping debris flow susceptibility and the det ermination ofkey controlling factors and their contribution rates are essential foundations for regional debris flow earlywarning, forecasting and risk manage ment.”

Key words

Southwest University of Science and Tech nology/Sichuan/People’s Republic of China/Asia/Cyborgs/Emerging Technologie s/Machine Learning

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航