首页|Recent Research from Federal University Paraiba Highlight Findings in Machine Le arning (Imerg Bramal: an Improved Gridded Monthly Rainfall Product for Brazil Ba sed On Satellite-based Imerg Estimates and Machine Learning Techniques)
Recent Research from Federal University Paraiba Highlight Findings in Machine Le arning (Imerg Bramal: an Improved Gridded Monthly Rainfall Product for Brazil Ba sed On Satellite-based Imerg Estimates and Machine Learning Techniques)
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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 originatingfrom Joao Pessoa, Brazil, by NewsR x correspondents, research stated, “Precipitation is one of the maincomponents of the hydrological cycle and its precise quantification is fundamental to provi ding informationfor the understanding and prediction of physical processes. Pre cipitation observations based on groundbaseddevices (manual and automatic rain gauges) are highly accurate but have limited spatial coverage.”
Joao PessoaBrazilSouth AmericaCybo rgsEmerging TechnologiesMachine LearningRemote SensingFederal University Paraiba
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