| 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 | 39 | 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 | 34 | 2017 |
| 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 |
| 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 | 13 | 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 | 12 | 2021 |
| 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 | 11 | 2020 |
| 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 | 11 | 2020 |
| 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 | 6 | 2021 |
| 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 | 5 | 2019 |
| Optimization methodology of artificial neural network models for predicting molecular diffusion coefficients for polar and non-polar binary gases N Melzi, L Khaouane, S Hanini, M Laidi, Y Ammi, H Zentou Journal of Applied Mechanics and Technical Physics 61, 207-216, 2020 | 3 | 2020 |
| Support Vector Machines for Evaluating the Impact of the Forward Osmosis Membrane Characteristics on the Rejection of the Organic Molecules. F Kratbi, Y Ammi, S Hanini Kemija u Industriji 72, 2023 | 2 | 2023 |
| Prediction of hourly global solar radiation: comparison of neural networks/bootstrap aggregating A Dahmani, Y Ammi, S Hanini, M Redha Yaiche, H Zentou Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 72 (3-4 …, 2023 | 2 | 2023 |
| The prediction of carbonyl groups during photo-thermal and thermal aging of polymers using artificial neural networks H Maouz, L Khaouane, S Hanini, Y Ammi, M Laidi, H Benimam Algerian Journal of Environmental Science and Technology 6 (3), 2020 | 2 | 2020 |
| 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 |
| A Novel Non-Linear Model Based on Bootstrapped Aggregated Support Vector Machine for the Prediction of Hourly Global Solar Radiation A Dahmani, Y Ammi, S Hanini Smart Grids and Sustainable Energy 9 (1), 3, 2023 | 1 | 2023 |
| Machine Learning and Neural Networks for Modelling the Retention of PPhACs by NF/RO Y Ammi, C Si-Moussa, S Hanini Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 72 (11 …, 2023 | 1 | 2023 |
| Assessing the efficacy of improved learning in hourly global irradiance prediction A Dahmani, Y Ammi, N Bailek, A Kuriqi, N Al-Ansari, S Hanini, I Colak, ... Computers, Materials and Continua 77 (2), 2579-2594, 2023 | 1 | 2023 |
| QSPR studije karbonilnih, hidroksilnih, polienskih indeksa i prosječne molekulske težine polimera pod fotostabilizacijom pristupom ANN i MLR 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 | 1 | 2020 |
| Usporedna studija predviđanja koeficijenta molekularne difuzije za polarni i nepolarni binarni plin pomoću neuronskih mreža i višestrukih linearnih regresija N Melzi, L Khaouane, Y Ammi, S Hanini, M Laidi, H Zentou Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske 68 (11 …, 2019 | 1 | 2019 |
| Neural network for prediction solar radiation in Relizane region (Algeria)-Analysis study A Dahmani, Y Ammi, S Hanini | 1 | |
