Robotics & Machine Learning Daily News2024,Issue(Sep.3) :106-106.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.3) :106-106.

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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Abstract

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).”

Key words

Mississippi State/Mississippi/United S tates/North and Central America/Algorithms/Cyborgs/Emerging Technologies/K- nearest Neighbor/Machine Learning/Mississippi State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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