首页|Data on Machine Learning Discussed by Researchers at Zhejiang Normal University (Utilizing Gaofen-2 Derived Urban Green Space Information To Predict Local Surface Temperature)
Data on Machine Learning Discussed by Researchers at Zhejiang Normal University (Utilizing Gaofen-2 Derived Urban Green Space Information To Predict Local Surface Temperature)
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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.”
JinhuaPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningZhejiang Normal University
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