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Latifa Khaouane
Latifa Khaouane
Maitre de Conférences, LBMPT- University of Medea
Verified email at univ-medea.dz
Title
Cited by
Cited by
Year
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
1052016
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
622019
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
442016
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
412017
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
392015
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
322017
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
222012
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
202019
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
182014
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
162013
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
132018
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
122021
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
112020
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
Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 69 (1-2 …, 2020
112020
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
112017
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
102017
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
72019
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
62021
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
52019
Etude et modélisation de la biosynthèse des antibiotiques à partir de différentes souches productrices-cas de pleuromutiline
L Khaouane
Médéa, 2013
52013
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