Chinese Academy of Meteorological Sciences Reports Findings in Machine Learning (3DVar sectoral emission inversion based on source apportionment and machine lea rning)

Robotics & Machine Learning Daily News2024，Issue(Nov.6) ：137-137.

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Chinese Academy of Meteorological Sciences Reports Findings in Machine Learning (3DVar sectoral emission inversion based on source apportionment and machine lea rning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report.According to news reporting originating from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Air quality models are increasingly important in air pollution forecasting and control.Sec toral emissions significantly impact the accuracy of air quality models and sour ce apportionment.”

Key words

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

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航