Robotics & Machine Learning Daily News2024,Issue(Sep.6) :31-32.

New Machine Learning Study Results Reported from Chinese Academy of Sciences (Geoclimatic Distribution of Satellite-Observed Salinity Bias Classified by Machine Learning Approach)

Robotics & Machine Learning Daily News2024,Issue(Sep.6) :31-32.

New Machine Learning Study Results Reported from Chinese Academy of Sciences (Geoclimatic Distribution of Satellite-Observed Salinity Bias Classified by Machine Learning Approach)

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Abstract

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 reportingout of Guangzhou, People’s Re public of China, by NewsRx editors, research stated, “Sea surface salinity(SSS) observed by satellite has been widely used since the successful launch of the f irst salinity satellitein 2009. However, compared with other oceanographic sate llite products (e.g., sea surface temperature,SST) that became operational in t he 1980s, the SSS product is less mature and lacks effective validationfrom the user end.”

Key words

Chinese Academy of Sciences/Guangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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