首页|Reports from Mississippi State University Provide New Insights into Machine Lear ning (Assessment and Prediction of Meteorological Drought Using Machine Learning Algorithms and Climate Data)
Reports from Mississippi State University Provide New Insights into Machine Lear ning (Assessment and Prediction of Meteorological Drought Using Machine Learning Algorithms and Climate Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news originating fromMississippi State, Mississippi, by NewsR x correspondents, research stated, “Monitoring drought in semiaridregions due to climate change is of paramount importance. This study, conducted in Morocco’sUpper Draa Basin (UDB), analyzed data spanning from 1980 to 2019, focusing on t he calculation ofdrought indices, specifically the Standardized Precipitation I ndex (SPI) and the Standardized PrecipitationEvapotranspiration Index (SPEI) at multiple timescales (1, 3, 9, 12 months).”
Mississippi StateMississippiUnited S tatesNorth and Central AmericaAlgorithmsCyborgsEmerging TechnologiesK- nearest NeighborMachine LearningMississippi State University
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