Investigators at Huazhong University of Science and Technology Detail Findings i n Machine Learning (Machine Learning In Modelling the Urban Thermal Field Varian ce Index and Assessing the Impacts of Urban Land Expansion On Seasonal Thermal . ..)

华中科技大学的研究人员详细研究了机器学习（机器学习在城市热场Varian CE指数建模和城市土地扩张对季节性热影响评估中的应用。 ..)

Robotics & Machine Learning Daily News2024，Issue(Jul.1) ：43-43.

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Investigators at Huazhong University of Science and Technology Detail Findings i n Machine Learning (Machine Learning In Modelling the Urban Thermal Field Varian ce Index and Assessing the Impacts of Urban Land Expansion On Seasonal Thermal . ..)

华中科技大学的研究人员详细研究了机器学习（机器学习在城市热场Varian CE指数建模和城市土地扩张对季节性热影响评估中的应用。 ..)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据《中华人民共和国武汉消息》，NewsRx记者报道，“城市土地利用方式对城市热环境和可持续发展的追求产生了深远影响，本文旨在调查和预测未来土地利用/土地覆盖(LULC)的变化及其对地表温度(LST)季节性变化的响应。”城市热场方差指数(UTFVI)，城市热岛效应(UHI)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Land use practices in urban areas e xert a profound influence on the urban thermal environment and the pursuit of su stainable development. This paper aims to investigate and forecast future change s in land use/land cover (LULC) and their response to seasonal variations in lan d surface temperatures (LST), the urban thermal field variance index (UTFVI), an d the urban heat island effect (UHI).”

Key words

Wuhan/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Huazhong University of Scienc e and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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