| A quantitative structure activity relationship for acute oral toxicity of pesticides on rats: validation, domain of application and prediction M Hamadache, O Benkortbi, S Hanini, A Amrane, L Khaouane, ... Journal of hazardous materials 303, 28-40, 2016 | 102 | 2016 |
| QSPR estimation models of normal boiling point and relative liquid density of pure hydrocarbons using MLR and MLP-ANN methods MR Fissa, Y Lahiouel, L Khaouane, S Hanini Journal of Molecular Graphics and Modelling 87, 109-120, 2019 | 59 | 2019 |
| Artificial neural network-based equation to predict the toxicity of herbicides on rats M Hamadache, S Hanini, O Benkortbi, A Amrane, L Khaouane, ... Chemometrics and Intelligent Laboratory Systems 154, 7-15, 2016 | 43 | 2016 |
| Novel density-based model for the correlation of solid drugs solubility in supercritical carbon dioxide C Si-Moussa, A Belghait, L Khaouane, S Hanini, A Halilali Comptes Rendus Chimie 20 (5), 559-572, 2017 | 38 | 2017 |
| Prediction of the rejection of organic compounds (neutral and ionic) by nanofiltration and reverse osmosis membranes using neural networks Y Ammi, L Khaouane, S Hanini Korean Journal of Chemical Engineering 32, 2300-2310, 2015 | 35 | 2015 |
| Modeling the retention of organic compounds by nanofiltration and reverse osmosis membranes using bootstrap aggregated neural networks L Khaouane, Y Ammi, S Hanini Arabian Journal for Science and Engineering 42, 1443-1453, 2017 | 28 | 2017 |
| Optimization of culture conditions for the production of pleuromutilin from pleurotus mutilus using a hybrid method based on central composite design, neural network, and … L Khaouane, C Si-Moussa, S Hanini, O Benkortbi Biotechnology and bioprocess engineering 17 (5), 1048-1054, 2012 | 22 | 2012 |
| Comparative study of predicting the molecular diffusion coefficient for polar and non-polar binary gas using neural networks and multiple linear regressions N Melzi, L Khaouane, Y Ammi, S Hanini, M Laidi, H Zentou Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 68 (11 …, 2019 | 20 | 2019 |
| Prediction of acute herbicide toxicity in rats from quantitative structure–activity relationship modeling M Hamadache, L Khaouane, O Benkortbi, C Si Moussa, S Hanini, ... Environmental Engineering Science 31 (5), 243-252, 2014 | 18 | 2014 |
| Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks L Khaouane, O Benkortbi, S Hanini, C Si-Moussa Brazilian Journal of Chemical Engineering 30, 105-116, 2013 | 16 | 2013 |
| QSPR studies of carbonyl, hydroxyl, polyene indices, and viscosity average molecular weight of polymers under photostabilization using ANN and MLR approaches H Maouz, L Khaouane, S Hanini, Y Ammi, M Hamadache, M Laidi Kem. Ind 69 (1-2), 1-16, 2020 | 11 | 2020 |
| A model based on bootstrapped neural networks for modeling the removal of organic compounds by nanofiltration and reverse osmosis membranes Y Ammi, L Khaouane, S Hanini Arabian Journal for Science and Engineering 43 (11), 6271-6284, 2018 | 11 | 2018 |
| Stacked neural networks for predicting the membranes performance by treating the pharmaceutical active compounds Y Ammi, L Khaouane, S Hanini Neural Computing and Applications, 1-16, 2021 | 10 | 2021 |
| Artificial neural networks based prediction of hourly horizontal solar radiation data: case study CM Siham, H Salah, L Maamar, K Latifa International Journal of Applied Decision Sciences 10 (2), 156-174, 2017 | 10 | 2017 |
| Environmental toxicity of pesticides, and its modeling by QSAR approaches M Hamadache, A Amrane, O Benkortbi, S Hanini, L Khaouane, ... Advances in QSAR Modeling: Applications in Pharmaceutical, Chemical, Food …, 2017 | 10 | 2017 |
| A comparison of “neural networks and multiple linear regressions” models to describe the rejection of micropollutants by membranes Y Ammi, L Khaouane, S Hanini Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 69 (3-4 …, 2020 | 9 | 2020 |
| Modelling of adsorption of methane, nitrogen, carbon dioxide, their binary mixtures, and their ternary mixture on activated carbons using artificial neural network H Barki, L Khaouane, S Hanini Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 68 (7-8 …, 2019 | 7 | 2019 |
| An artificial intelligence approach for modeling the rejection of anti-inflammatory drugs by nanofiltration and reverse osmosis membranes using kernel support vector machine … Y Ammi, S Hanini, L Khaouane Comptes Rendus. Chimie 24 (2), 243-254, 2021 | 5 | 2021 |
| Etude et modélisation de la biosynthèse des antibiotiques à partir de différentes souches productrices-cas de pleuromutiline L Khaouane Médéa, 2013 | 5 | 2013 |
| Modeling the molecular weight and number average molecular masses during the photo-thermal oxidation of polypropylene using neural networks H Maouz, L Khaouane, S Hanini, Y Ammi Moroccan Journal of Chemistry 7 (1), 7-1, 2019 | 4 | 2019 |
Prof. Othmane BenkortbiLBMPT, Université Dr Yahia Farès de MédéaVerified email at univ-medea.dz
