Maamar Laidi

Dragonfly-Support Vector Machine for Regression Modeling of the Activity Coefficient at Infinite Dilution of Solutes in Imidazolium Ionic Liquids Using σ-Profile Descriptors

Hania Benimam, Cherif Si‐Moussa, Mohamed Hentabli et al. · Journal of Chemical & Engineering Data · 2020 · 43 citations

Computing, Chemical Engineering, Machine Learning +16

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 et al. · Neural Computing and Applications · 2019 · 40 citations

Computing, Chemical Engineering, Computer Science +17

Semi-empirical correlation of solid solute solubility in supercritical carbon dioxide: Comparative study and proposition of a novel density-based model

Aicha Belghait, Cherif Si‐Moussa, Maamar Laidi et al. · Comptes Rendus Chimie · 2018 · 39 citations

Natural Sciences, Chemistry, Physical Chemistry +14

Computational intelligence techniques for modeling of dynamic adsorption of organic pollutants on activated carbon

Yamin Mesellem, Abdallah Abdallah El Hadj, Maamar Laidi et al. · Neural Computing and Applications · 2021 · 35 citations

Engineering, Chemical Engineering, Environmental Engineering +17

Novel approach for estimating solubility of solid drugs in supercritical carbon dioxide and critical properties using direct and inverse artificial neural network (ANN)

A. Abdallah el hadj, Maamar Laidi, Cherif Si‐Moussa et al. · Neural Computing and Applications · 2015 · 30 citations

Pharmacy, Chemistry, Pharmacology +14