首页|Reports from Federal University Alagoas Add New Data to Findings in Machine Lear ning (An Energy Efficient Tinyml Model for a Water Potability Classification Pro blem)
Reports from Federal University Alagoas Add New Data to Findings in Machine Lear ning (An Energy Efficient Tinyml Model for a Water Potability Classification Pro blem)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Maceio, Brazil, by NewsRx ed itors, research stated, “Safe drinking water is an essential resource anda fund amental human right, but its access continues beyond billions of people, posing numerous healthrisks. A key obstacle in monitoring water quality is managing an d analyzing extensive data.”
MaceioBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningRisk and PreventionFederal University Alagoas
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