| Dragonfly-support vector machine for regression modeling of the activity coefficient at infinite dilution of solutes in imidazolium ionic liquids using σ-profile descriptors H Benimam, CS Moussa, M Hentabli, S Hanini, M Laidi Journal of Chemical & Engineering Data 65 (6), 3161-3172, 2020 | 46 | 2020 |
| Prediction of the concentrations of PM1, PM2. 5, PM4, and PM10 by using the hybrid dragonfly-SVM algorithm A Ibrir, Y Kerchich, N Hadidi, H Merabet, M Hentabli Air Quality, Atmosphere & Health 14, 313-323, 2021 | 34 | 2021 |
| Artificial Intelligence and Mathematical Modelling of the Drying Kinetics of Pharmaceutical Powders. S Keskes, S Hanini, M Hentabli, M Laidi Kemija u Industriji 69, 2020 | 33 | 2020 |
| Artificial neural network modelling of multi-system dynamic adsorption of organic pollutants on activated carbon Y Mesellem, AEH Abdallah, M Laidi, S Hanini, M Hentabli Kem. Ind 70 (1-2), 39-47, 2021 | 14 | 2021 |
| Vacuum drying of the Terbinafine HCl powder: A kinetics study and mathematical modeling M Hentabli, AE Belhadj, H Benimam, F Dahmoune, K Sonia Powder Technology, 2021 | 13 | 2021 |
| Artificial Neural Network and Support Vector Regression Applied in Quantitative Structure-property Relationship Modelling of Solubility of Solid Solutes in Supercritical CO 2 M Moussaoui, M Laidi, S Hanini, M Hentabli Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 69 (11 …, 2020 | 13 | 2020 |
| Optimization of ultrasound-assisted extraction of phenolic-saponin content from Carthamus caeruleus L. rhizome and predictive model based on support vector regression optimized … H Moussa, F Dahmoune, M Hentabli, H Remini, L Mouni Chemometrics and Intelligent Laboratory Systems 222, 104493, 2022 | 11 | 2022 |
| Computational intelligence techniques for modeling of dynamic adsorption of organic pollutants on activated carbon Y Mesellem, AAE Hadj, M Laidi, S Hanini, M Hentabli Neural Computing and Applications 33, 12493-12512, 2021 | 11 | 2021 |
| CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA M Laidi, HA Abdallah, C Si-Moussa, O Benkortebi, M Hentabli, S Hanini Chemical Industry and Chemical Engineering Quarterly 27 (3), 299-312, 2021 | 9 | 2021 |
| A grey wolf optimizer-based fractional calculus in studies on solar drying M Abdelkader, M Laidi, S Hanini, M Hentabli, A Amrane Kemija u industriji 70 (1-2), 39-47, 2021 | 8 | 2021 |
| Practical artificial neural network tool for predicting the competitive adsorption of dyes on gemini polymeric nanoarchitecture A El Bey, M Laidi, A Yettou, S Hanini, A Ibrir, M Hentabli, H Ouldkhaoua Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 70 (9 …, 2021 | 7 | 2021 |
| Ternary multicomponent adsorption modelling using ANN, LS-SVR, and SVR approach–Case study A Yettou, M Laidi, A El Bey, S Hanini, M Hentabli, O Khaldi, M Abderrahim Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 70 (9 …, 2021 | 6 | 2021 |
| Study of microwave and convective drying kinetics of pea pods (Pisum sativum L.): A new modeling approach using support vector regression methods optimized … L Hadjout‐Krimat, A Belbahi, F Dahmoune, M Hentabli, A Boudria, ... Journal of Food Process Engineering 46 (2), e14232, 2023 | 5 | 2023 |
| Critical properties and acentric factors of pure compounds modelling based on QSPR-SVM with dragonfly algorithm M Moussaoui, M Laidi, S Hanini, AEH Abdallah, M Hentabli Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 70 (7-8 …, 2021 | 5* | 2021 |
| Rheological and structural study of solid lipid microstructures stabilized within a lamellar gel network M Kouider Amar, S Rahal, M Laidi, R Rebhi, M Hentabli, S Hanini, ... Journal of Pharmaceutical Innovation 17 (4), 1434-1450, 2022 | 4 | 2022 |
| Modelling the drying kinetics of apple (Golab Variety): fractional calculus vs semi-empirical models A Mahdad, M Laidi, S Hanini, M Hentabli, M Benhelal Kem Ind 70 (5/6), 251-262, 2021 | 4 | 2021 |
| Modelling Drying Time of Candesartan Cilexetil Powder Using Computational Intelligence Technique S Keskes, M Hentabli, M Laidi, S Hanini Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 70 (3-4 …, 2021 | 4 | 2021 |
| Artificial Neural Network Approach to Predict the Colour Yield of Wool Fabric Dyed with Limoniastrum monopetalum Stems A Bouzidi, Y Ammi, N Baaka, M Hentabli, H Maouz, M Laidi, S Hanini Chemistry Africa 7 (1), 99-109, 2024 | 1 | 2024 |
| Investigation of the candesartan cilexetil antihypertensive drug microencapsulation by PLA‐PVP K30 biodegradable polymers: Experimental optimization and release kinetics modelling A Chabane, F Bouchal, M Hentabli, N Ayachi, HE Slama, F Rezgui, ... The Canadian Journal of Chemical Engineering 101 (8), 4446-4459, 2023 | 1 | 2023 |
| Dragonfly algorithm–support vector machine approach for prediction the optical properties of blood F Omari, L Khaouane, M Laidi, A Ibrir, M Roubehie Fissa, M Hentabli, ... Computer Methods in Biomechanics and Biomedical Engineering, 1-10, 2023 | 1 | 2023 |
Salah HANINIProfessor of Chemical Engineering, LBMPT- University of MedeaDirección de correo verificada de univ-medea.dz
