Robotics & Machine Learning Daily News2024,Issue(Jul.29) :17-18.

Study Results from Tianjin University Provide New Insights into Machine Learning (Unveiling Nonlinear Effects of Built Environment Attributes On Urban Heat Resi lience Using Interpretable Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Jul.29) :17-18.

Study Results from Tianjin University Provide New Insights into Machine Learning (Unveiling Nonlinear Effects of Built Environment Attributes On Urban Heat Resi lience Using Interpretable Machine Learning)

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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 originating in Tianjin, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Builtenvironm ent attributes (BEAs) play a significant role in influencing urban heat resilien ce (UHR). Previousresearch has examined the correlations and nonlinear relation ships between BEAs and both land surfacetemperature (LST) and urban heat island (UHI) effects.”

Key words

Tianjin/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Tianjin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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