首页|New Machine Learning Study Results Reported from Chinese Academy of Sciences (Geoclimatic Distribution of Satellite-Observed Salinity Bias Classified by Machine Learning Approach)
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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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.”
Chinese Academy of SciencesGuangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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