首页|Minia University Reports Findings in Machine Learning (Assessment of groundwater quality in arid regions utilizing principal component analysis, GIS, and machin e learning techniques)
Minia University Reports Findings in Machine Learning (Assessment of groundwater quality in arid regions utilizing principal component analysis, GIS, and machin e learning techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Minia, Egypt , by NewsRx correspondents, research stated, “Assessing water quality in arid re gions is vital due to scarce resources, impacting health and sustainable managem ent.This study examines groundwater quality in Assuit Governorate, Egypt, using Principal Component Analysis, GIS, and Machine Learning Techniques. Data from 21 7 wells across 12 parameters were analyzed, including TDS, EC, Cl, Fe, Ca, Mg, N a, SO, Mn, HCO, K, and pH.”
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