Robotics & Machine Learning Daily News2024,Issue(Dec.5) :42-43.

Researchers from HNB Garhwal University Detail Findings in Machine Learning (Eva luating Landslide Hazard, Vulnerability, and Risk Using Machine Learning; a Case Study From the Alaknanda Valley, Nw Himalaya)

来自HNB Garhwal大学的研究人员详细介绍了机器学习的发现(使用机器学习评估滑坡危险、脆弱性和风险;来自喜马拉雅西北部阿拉克南达山谷的案例研究)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :42-43.

Researchers from HNB Garhwal University Detail Findings in Machine Learning (Eva luating Landslide Hazard, Vulnerability, and Risk Using Machine Learning; a Case Study From the Alaknanda Valley, Nw Himalaya)

来自HNB Garhwal大学的研究人员详细介绍了机器学习的发现(使用机器学习评估滑坡危险、脆弱性和风险;来自喜马拉雅西北部阿拉克南达山谷的案例研究)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道由Ne wsRx通讯员从印度斯利那加发起的研究表明,“滑坡是最严重的灾害之一。”喜马拉雅地区破坏性地质灾害最多,且在近几年中其发生频率有所增加几十年因此,对肃山滑坡危险性进行评价是十分必要的。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Srinagar, India, by Ne wsRx correspondents, research stated, “Landslides are one of themost destructiv e geological hazards in the Himalaya, and their frequency has increased in the l ast fewdecades. Therefore, it is essential to evaluate the landslide risk in su ch mountains.”

Key words

Srinagar/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/HNB Garhwal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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