Reports on Machine Learning Findings from Wuhan University Provide New Insights (Estimation of Planetary Boundary Layer Height From Lidar By Combining Gradient Method and Machine Learning Algorithms)

Robotics & Machine Learning Daily News2024，Issue(Mar.25) ：44-45.

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Reports on Machine Learning Findings from Wuhan University Provide New Insights (Estimation of Planetary Boundary Layer Height From Lidar By Combining Gradient Method and Machine Learning Algorithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Wuhan, People's Republic of China, by NewsRx journalists, research stated, “The planetary boundary layer height (PBLH ) has a significant impact on the energy and material exchange in the atmosphere . The traditional gradient method (GM) determines the PBLH based on the gradient change of the aerosol profile.”

Key words

Wuhan/People's Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Wuhan University

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出版年

2024

Robotics & Machine Learning Daily News

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