首页|New Findings in Machine Learning Described from Fudan University (Extracting Reg ional and Temporal Features To Improve Machine Learning for Hourly Air Pollutant s In Urban India)
New Findings in Machine Learning Described from Fudan University (Extracting Reg ional and Temporal Features To Improve Machine Learning for Hourly Air Pollutant s In Urban India)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Shan ghai, People’s Republic of China, by NewsRx correspondents, researchstated, “In dia is suffering from severe particulate matter (PM, including PM2.5 and PM10) p ollution,while limited ground observations are insufficient to support a compre hensive understanding of its healthrisks. Machine learning (ML) has the potenti al to improve the estimation of PM distribution and exposureefficiently.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningRisk and PreventionFudan University
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