Robotics & Machine Learning Daily News2024,Issue(Jul.3) :61-61.

Henan Polytechnic University Researcher Releases New Study Findings on Machine L earning (Constructing a Machine Learning Model for Rapid Urban Flooding Forecast in Sloping Cities along the Yangtze River: A Case Study in Jiujiang)

河南工业大学研究员发布机器学习新成果(构建沿江坡地城市洪水快速预报的机器学习模型:以九江为例)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :61-61.

Henan Polytechnic University Researcher Releases New Study Findings on Machine L earning (Constructing a Machine Learning Model for Rapid Urban Flooding Forecast in Sloping Cities along the Yangtze River: A Case Study in Jiujiang)

河南工业大学研究员发布机器学习新成果(构建沿江坡地城市洪水快速预报的机器学习模型:以九江为例)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-人工智能的新数据在一份新的报告中呈现。根据NewsRx记者来自中华人民共和国焦作的新闻,研究表明,"S Loping地形的城市在暴雨期间更容易受到洪水的影响"。本研究的资金来源包括上海勘察设计研究院有限公司的研究项目、自然资源部矿山时空信息与生态恢复重点实验室开放式基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Jiaozuo, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Cities with s loping terrain are more susceptible to flooding during heavy rains.” Funders for this research include Research Project of Shanghai Investigation Des ign And Research Institute Co. Ltd.; Mine Temporal And Spatial Information And E cological Restoration Key Laboratory of Ministry of Natural Resources Open Fund.

Key words

Henan Polytechnic University/Jiaozuo/P eople's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learnin g

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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