| Modeling the Neuman’s well function by an artificial neural network for the determination of unconfined aquifer parameters T Azari, N Samani Computational Geosciences 22, 1135-1148, 2018 | 12 | 2018 |
| A supervised committee neural network for the determination of aquifer parameters: a case study of Katasbes aquifer in Shiraz plain, Iran MMR Tabari, T Azari, V Dehghan Soft Computing 25 (6), 4785-4798, 2021 | 10 | 2021 |
| An artificial neural network model for the determination of leaky confined aquifer parameters: an accurate alternative to type curve matching methods T Azari, N Samani, E Mansoori Iranian Journal of Science 39 (4), 463-472, 2015 | 8 | 2015 |
| An integrated approach based on HFE-D, GIS techniques, GQISWI, and statistical analysis for the assessment of potential seawater intrusion: coastal multilayered … T Azari, MMR Tabari Environmental Science and Pollution Research 31 (9), 13335-13371, 2024 | 2 | 2024 |
| Effects of Heavy Metal Contamination Caused by Residual Leachate on Forest Soil in Babol Anjilsi Region, Iran M Rahmani, T Azari, S Mollaaghajanzadeh Geographical Research 35 (1), 31-42, 2020 | 1 | 2020 |
| Two Multilayer Perceptron Networks for the Determination of Leaky Confined Aquifer Parameters T Azari, N Samani GEOSCIENCES 25 (97), 375-386, 2015 | 1 | 2015 |
| Prediction of Chloride in Groundwater Using Supervised Artificial Intelligence Committee Machine (SAICM)(Case Study: Sari Plain) T Azari, S Dadashi, F Kardel Journal of Engineering Geology 17 (2), 228-252, 2023 | | 2023 |
| Influence of the Babolsar landfill leachate on groundwater quality T Azari, MT Kadar-Ghale, F Kardel Kharazmi Journal of Earth Sciences 9 (1), 227-259, 2023 | | 2023 |
| Assessment of vulnerability of groundwater resources by industrial pollutants of Sari oil reservoir M Rahmani, T Azari Environmental Sciences 18 (4), 55-68, 2020 | | 2020 |
| Application of Drastic Model in the Studying Process of Industrial Development of Sari Plain M RAHMANI, T AZARI JOURNAL OF ENVIRONMENTAL RESEARCH AND TECHNOLOGY 4 (6), 83-92, 2020 | | 2020 |
| Determination the Hydrodynamic Parameters of Confined Aquifer Using Sugeno Fuzzy Logic H Mahmoudi Hajilari, AA Nadiri, T Azari, S Sadeghfam, ... Iranian journal of Ecohydrology 5 (4), 1079-1089, 2018 | | 2018 |
| Design of a Neural Network Model for the Determination of Unconfined Aquifer Parameters T Azari, N Samani Water Resources Engineering 9 (28), 1-18, 2016 | | 2016 |
| Comparison of the MLP and RBF Neural Networks for the Determination of Confined Aquifer Parameters T Azari, N Samani Iranian Journal of Geology 36 (36), 0, 2016 | | 2016 |
