Robotics & Machine Learning Daily News2024,Issue(Aug.6) :83-84.

New Machine Learning Study Findings Recently Were Reported by Researchers at Eas t China Normal University (Capturing the Net Ecosystem Co2 Exchange Dynamics of Tidal Wetlands With High Spatiotemporal Resolution By Integrating Process-based and ...)

Robotics & Machine Learning Daily News2024,Issue(Aug.6) :83-84.

New Machine Learning Study Findings Recently Were Reported by Researchers at Eas t China Normal University (Capturing the Net Ecosystem Co2 Exchange Dynamics of Tidal Wetlands With High Spatiotemporal Resolution By Integrating Process-based and ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingfrom Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Accurate estimation ofthe net ecosystem CO2 exchange (NEE) at regional scales is of great significance for stu dying the carbonsink potential of coastal wetland ecosystems and their response s to global climate change. However, currentNEE estimation methods are mainly d eveloped for terrestrial ecosystems and are therefore unsuitable forNEE estimat ion with high spatiotemporal resolution estimation in coastal wetlands subjected to sub-dailytidal flooding.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/East China Normal Universi ty

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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