首页|Data on Machine Learning Detailed by Researchers at CSIR - Central Salt and Marine Chemicals Research Institute (Parametric Optimization and Modeling of Continuous Electrocoagulation Process for the Removal of Fluoride: Response Surface ...)
Data on Machine Learning Detailed by Researchers at CSIR - Central Salt and Marine Chemicals Research Institute (Parametric Optimization and Modeling of Continuous Electrocoagulation Process for the Removal of Fluoride: Response Surface ...)
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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 reportingoriginating from Bhavnagar, India, by NewsRx correspondents, research stated, “The main objective ofthis study was to assess the continuous electrocoagulation process effectiveness for removing fluoride frompotable water. The effect of different parameters like applied potential, electrode spacing, and feed flowrate was optimized for the continuous removal of fluoride from potable water.”
BhavnagarIndiaAsiaAnionsCauteryCyborgsElectrocoagulationEmerging TechnologiesFluoridesHydrofluoric AcidMachine LearningSurgeryCSIR - Central Salt and Marine Chemicals Research Institute
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