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Groundwater Quality Assessment Based on Physicochemical and Microbiological Parameters Using Advanceemical and microbiological parameters of groundwater samples and utilized Artificial Intelligence (AI) based models, Support Vector Regression (SVR), Multi-Linear Regression (MLR), Random Forest (RF), XGBoost and CatBoost to predict water quality parameters from the experimental result. The groundwa
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Climate Change and Water Resources in Mediterranean Countries978-3-031-65960-7Series ISSN 2199-9155 Series E-ISSN 2199-9163