Robotics & Machine Learning Daily News2024,Issue(Nov.14) :96-97.

Researchers from China Geology Survey Describe Findings in Machine Learning (Sma ll-scale, Large Impact: Utilizing Machine Learning To Assess Susceptibility To U rban Geological Disasters-a Case Study of Urban Road Collapses In Hangzhou)

中国地质调查局的研究人员描述了机器学习的发现(Sma LL尺度,大影响:利用机器学习评估城市地质灾害的易感性-以杭州城市道路坍塌为例)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :96-97.

Researchers from China Geology Survey Describe Findings in Machine Learning (Sma ll-scale, Large Impact: Utilizing Machine Learning To Assess Susceptibility To U rban Geological Disasters-a Case Study of Urban Road Collapses In Hangzhou)

中国地质调查局的研究人员描述了机器学习的发现(Sma LL尺度,大影响:利用机器学习评估城市地质灾害的易感性-以杭州城市道路坍塌为例)

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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-一项关于机器学习的新研究现在可用。根据新闻报道来自中国人民共和国南京,由NewsRx记者报道,研究称,“比较”随着滑坡、地震等大规模地质灾害的发生,城市小规模地质灾害的发生,城市坍塌和地裂缝等灾害经常被忽视。然而,社会经济影响这些小规模事件的发生往往会超过大城市更大的灾难。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingoriginating from Nanjing, People’s Repub lic of China, by NewsRx correspondents, research stated, “Comparedwith large-sc ale geological disasters such as landslides and earthquakes, small-scale urban g eologicaldisasters such as collapses and ground fissures are often overlooked. However, the socioeconomic impactsof these small-scale events can often exceed those of larger disasters in major cities.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/China Geology Survey

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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