首页|New Machine Learning Findings from South China University of Technology Discusse d (Downscaled High Spatial Resolution Images From Automated Machine Learning for Assessment of Urban Structure Effects On Land Surface Temperatures)
New Machine Learning Findings from South China University of Technology Discusse d (Downscaled High Spatial Resolution Images From Automated Machine Learning for Assessment of Urban Structure Effects On Land Surface Temperatures)
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Investigators publish new report on Ma chine Learning. According to news reporting out of Guangzhou, People's Republic of China, by NewsRx editors, research stated, "Urbanization has profoundly resha ped urban morphology and land cover while degrading the thermal environment. Des pite numerous studies exploring correlations between two-dimensional (2D) and th ree-dimensional (3D) urban features and land surface temperatures (LSTs), unders tanding the impact of urban structural effects on LSTs remains unclear due to li mited high-spatial-resolution satellite data." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of Guangdong Province, S tate Key Laboratory of Subtropical Building and Urban Science, Fundamental Resea rch Funds for the Central Universities.
GuangzhouPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningSouth China University of Technology
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