Robotics & Machine Learning Daily News2024,Issue(Sep.3) :82-83.

Data on Machine Learning Discussed by Researchers at Zhejiang Normal University (Utilizing Gaofen-2 Derived Urban Green Space Information To Predict Local Surface Temperature)

Robotics & Machine Learning Daily News2024,Issue(Sep.3) :82-83.

Data on Machine Learning Discussed by Researchers at Zhejiang Normal University (Utilizing Gaofen-2 Derived Urban Green Space Information To Predict Local Surface Temperature)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Jinhua, People’s Repub lic of China, by NewsRx journalists, research stated, “Urban greenspaces (UGS) significantly influence the distribution of surface heat and play a crucial role in regulatingsurface temperature. However, the quantitative relationship betwe en UGS and surface temperature remainsunclear, necessitating further research.”

Key words

Jinhua/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Zhejiang Normal University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文