Unveiling key drivers in hydrometeorological processes feature selection using bayesian networks for improved understanding and prediction

Das, Prabal2024-02-202024-02-202024-01http://hdl.handle.net/123456789/3003enBayesian Networks (BNs)Machine Learning (ML)Artificial Neural NetworksSupport Vector Regression (SVR)Recursive Feature Elimination (RFE)General Circulation Models (GCMs)PH2683CIVPh.DUnveiling key drivers in hydrometeorological processes feature selection using bayesian networks for improved understanding and predictionThesis