首页|Reports Summarize Machine Learning Study Results from Wuhan University (Precipit able Water Vapor Estimation From Himawari- 8/ahi Observations Using a Stacking Ma chine Learning Model)
Reports Summarize Machine Learning Study Results from Wuhan University (Precipit able Water Vapor Estimation From Himawari- 8/ahi Observations Using a Stacking Ma chine Learning Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting out ofWuhan, People’s Republic of China , by NewsRx editors, research stated, “The Advanced Himawari Imager(AHI) onboar d the new-generation geostationary satellite Himawari-8 is designed to capture v isible lightand infrared images of the Asia-Pacific region in 16 bands, providi ng a potential mean for monitoringprecipitable water vapor (PWV). However, no a lgorithm is specially developed for the Himawari-8/AHI toestimate PWV from its multichannel observations, resulting in underutilization of its capability.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningWuhan University
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