首页|Recent Findings in Machine Learning Described by Researchers from Henan Universi ty (A Data- and Knowledge-driven Method for Fusing Satellite-derived and Ground- based Precipitation Observations)
Recent Findings in Machine Learning Described by Researchers from Henan Universi ty (A Data- and Knowledge-driven Method for Fusing Satellite-derived and Ground- based Precipitation Observations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Kaifeng, People’s Republic of C hina, by NewsRx journalists, research stated, “Accurate representationof the sp atiotemporal distribution of precipitation is critical to climate and hydrology fields. Data-drivenmethods based on machine learning have exhibited the potenti al to fuse satellite-derived precipitation data(SPD) and ground-based precipita tion observations (GPOs).”
KaifengPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningHenan University
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