首页|New Machine Learning Findings from Oklahoma State University Described (Downscal ed-grace Data Reveal Anthropogenic and Climate-induced Water Storage Decline Acr oss the Indus Basin)
New Machine Learning Findings from Oklahoma State University Described (Downscal ed-grace Data Reveal Anthropogenic and Climate-induced Water Storage Decline Acr oss the Indus Basin)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Stillwater, Ok lahoma, by NewsRx journalists, research stated, “GRACE (GravityRecovery and Cli mate Experiment) has been widely used to evaluate terrestrial water storage (TWS ) and groundwater storage (GWS). However, the coarse-resolution of GRACE data ha s limited the ability toidentify local vulnerabilities in water storage changes associated with climatic and anthropogenic stressors.”
StillwaterOklahomaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningOklaho ma State University
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