首页|Fudan University Researchers Update Understanding of Machine Learning (Machine L earning to Characterize Biogenic Isoprene Emissions and Atmospheric Formaldehyde with Their Environmental Drivers in the Marine Boundary Layer)

Fudan University Researchers Update Understanding of Machine Learning (Machine L earning to Characterize Biogenic Isoprene Emissions and Atmospheric Formaldehyde with Their Environmental Drivers in the Marine Boundary Layer)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Oceanic biogenicemi ssions exert a significant impact on the atmospheric environment within the mari ne boundary layer(MBL). This study employs the extreme gradient boosting (XGBoo st) machine learning method andclustering method combined with satellite observ ations and model simulations to discuss the effects ofmarine biogenic emissions on MBL formaldehyde (HCHO).”

Fudan UniversityShanghaiPeople’s Rep ublic of ChinaAsiaAldehydesCyborgsEmerging TechnologiesFormaldehydeM achine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.9)