首页|Wuhan University of Technology Reports Findings in Machine Learning (Unraveling the Influence of Satellite-Observed Land Surface Temperature on High-Resolution Mapping of Ground-Level Ozone Using Interpretable Machine Learning)
Wuhan University of Technology Reports Findings in Machine Learning (Unraveling the Influence of Satellite-Observed Land Surface Temperature on High-Resolution Mapping of Ground-Level Ozone Using Interpretable Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New research on Machine Learning is th e subject of a report. According to newsreporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Accuratelymapping ground-le vel ozone concentrations at high spatiotemporal resolution (daily, 1 km) is esse ntial forevaluating human exposure and conducting public health assessments. Th is requires identifying and understandinga proxy that is well-correlated with g round-level ozone variation and available with spatiotemporalhigh-resolution da ta.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesEpidemiologyMachine LearningOzone
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