Artificial neural networks based prediction of hourly horizontal solar radiation data: case study. - Chaba-Mouna Siham; Hanini Salah; Laidi Maamar; Khaouane Latifa (Int. J. Appl. Decis. Sci., 2017)

Novel approach for estimating solubility of solid drugs in supercritical carbon dioxide and critical properties using direct and inverse artificial neural network (ANN). - Abdallah el hadj Abdellah; Maamar Laidi; Cherif Si-Moussa; Salah Hanini (Neural Comput. Appl., 2017)

Modeling the activity coefficient at infinite dilution of water in ionic liquids using artificial neural networks and support vector machines. - Hania Benimam; Cherif Si-Moussa; Maamar Laidi; Salah Hanini (Neural Comput. Appl., 2020)

Stacked neural networks for predicting the membranes performance by treating the pharmaceutical active compounds. - Yamina Ammi; Latifa Khaouane; Salah Hanini (Neural Comput. Appl., 2021)

Computational intelligence techniques for modeling of dynamic adsorption of organic pollutants on activated carbon. - Yamin Mesellem; Abdallah Abdallah El Hadj; Maamar Laidi; Salah Hanini; Mohamed Hentabli (Neural Comput. Appl., 2021)

Modeling of hydrogen liquefaction process parameters using advanced artificial intelligence technique. - Abdallah Abdallah El Hadj; A. Ait Yahia; K. Hamza; Maamar Laidi; Salah Hanini (Comput. Chem. Eng., 2025)