Mohammed N. Faizan

A hybrid CNN-XGBoost-Temporal Fusion Transformer framework for explainable multi-variable hydroclimatic extremes forecasting under CMIP6 climate scenarios

Hydroclimatic extremes are projected to intensify across monsoon-dependent river basins, yet reliable forecasting remains limited by three persistent gaps: deep learning models rarely integrate spatial and temporal processing in a unified pipeline, almost always target a single variable, and offer limited interpretab...