1. Process structure-based recurrent neural network modeling for predictive control: a comparative study;Alhajeri;Chem Eng Res Des,2022
2. Predicting the hydrogen uptake ability of a wide range of zeolites utilizing supervised machine learning methods;Alizadeh;Int J Hydrogen Energy,2022
3. Renewable energy approach towards powering the CI engine with ternary blends of algal biodiesel-diesel-diethyl ether: bayesian optimized Gaussian process regression for modeling-optimization;Alruqi;Fuel,2023
4. Optimization of WAG in real geological field using rigorous soft computing techniques and nature-inspired algorithms;Amar;J Pet Sci Eng,2021
5. Predicting thermal conductivity of carbon dioxide using group of data-driven models;Amar;J Taiwan Inst Chem Eng,2020