Ali El Bilali

Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors

Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials

An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation

Prediction of irrigation water quality parameters using machine learning models in a semi-arid environment