| A hybrid support vector regression–firefly model for monthly rainfall forecasting A Danandeh Mehr, V Nourani, V Karimi Khosrowshahi, MA Ghorbani International Journal of Environmental Science and Technology 16, 335-346, 2019 | 148 | 2019 |
| Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey MA Ghorbani, RC Deo, V Karimi, ZM Yaseen, O Terzi Stochastic Environmental Research and Risk Assessment 32, 1683-1697, 2018 | 138 | 2018 |
| Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model A Malik, A Kumar, S Kim, MH Kashani, V Karimi, A Sharafati, MA Ghorbani, ... Engineering Applications of Computational Fluid Mechanics 14 (1), 323-338, 2020 | 114 | 2020 |
| Learning from multiple models using artificial intelligence to improve model prediction accuracies: application to river flows MA Ghorbani, R Khatibi, V Karimi, ZM Yaseen, M Zounemat-Kermani Water resources management 32, 4201-4215, 2018 | 83 | 2018 |
| River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network SG Meshram, MA Ghorbani, S Shamshirband, V Karimi, C Meshram Soft Computing 23, 10429-10438, 2019 | 79 | 2019 |
| Application of artificial neural networks, support vector machine and multiple model-ANN to sediment yield prediction SG Meshram, VP Singh, O Kisi, V Karimi, C Meshram Water Resources Management 34 (15), 4561-4575, 2020 | 75 | 2020 |
| Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia MA Ghorbani, RC Deo, S Kim, M Hasanpour Kashani, V Karimi, ... Soft Computing 24, 12079-12090, 2020 | 71 | 2020 |
| A framework for ‘Inclusive Multiple Modelling’with critical views on modelling practices–Applications to modelling water levels of Caspian Sea and Lakes Urmia and Van R Khatibi, MA Ghorbani, S Naghshara, H Aydin, V Karimi Journal of Hydrology 587, 124923, 2020 | 53 | 2020 |
| New approach for sediment yield forecasting with a two-phase feedforward neuron network-particle swarm optimization model integrated with the gravitational search algorithm SG Meshram, MA Ghorbani, RC Deo, MH Kashani, C Meshram, V Karimi Water Resources Management 33, 2335-2356, 2019 | 48 | 2019 |
| Design and implementation of a hybrid MLP-GSA model with multi-layer perceptron-gravitational search algorithm for monthly lake water level forecasting MA Ghorbani, RC Deo, V Karimi, MH Kashani, S Ghorbani Stochastic environmental research and risk assessment 33, 125-147, 2019 | 47 | 2019 |
| An investigation into seasonal variations of groundwater nitrate by spatial modelling strategies at two levels by kriging and co-kriging models AA Rostami, V Karimi, R Khatibi, B Pradhan Journal of environmental management 270, 110843, 2020 | 34 | 2020 |
| Developing a predictive tropospheric ozone model for Tabriz R Khatibi, L Naghipour, MA Ghorbani, MS Smith, V Karimi, R Farhoudi, ... Atmospheric Environment 68, 286-294, 2013 | 17 | 2013 |
| Application of complex networks for monthly rainfall dynamics over central Vietnam MA Ghorbani, V Karimi, H Ruskeepää, B Sivakumar, QB Pham, ... Stochastic Environmental Research and Risk Assessment 35, 535-548, 2021 | 15 | 2021 |
| Strategies for learning groundwater potential modelling indices under sparse data with supervised and unsupervised techniques V Karimi, R Khatibi, MA Ghorbani, DT Bui, S Darbandi Water Resources Management 34, 2389-2417, 2020 | 11 | 2020 |
| Sensitivity Analysis of the Effective Input Parameters upon the Ozone Concentration using Artificial Neural Networks MA GHORBANI, L Naghipour, V Karimi, R Farhoudi Iranian Journal of Health and Environment (IJHE) 6 (1), 11-22, 2013 | 8 | 2013 |
| Temporal connections in reconstructed monthly rainfall time series in different rainfall regimes of Turkey MA Ghorbani, E Kahya, H Ruskeepää, T Roshni, M Hasanpour Kashani, ... Arabian Journal of Geosciences 15 (10), 1015, 2022 | 7 | 2022 |
| Nonlinear and periodic dynamics of chaotic hydro-thermal process of Skokomish river H Ruskeepää, LN Ferreira, MA Ghorbani, E Kahya, G Golmohammadi, ... Stochastic Environmental Research and Risk Assessment 37 (7), 2739-2756, 2023 | 4 | 2023 |
| Groundwater potential mapping using index of entropy and Naïve Bayes models at Ardabil plain V Karimi Khosrowshahi, MA Ghorbani, S Darbandi Journal of Watershed Management Research 11 (22), 273-286, 2020 | 3 | 2020 |
| Energy dissipation in rough chute: experimental approach versus artificial intelligence modeling S Kim, F Salmasi, MA Ghorbani, V Karimi, A Malik, E Kahya Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation …, 2021 | 2 | 2021 |
| Designing a deep learning-based framework for the prediction of lake surface closed curves CAG Santos, D Misra, S Ghanimeh, A Olusola, U Patel, G Golmohammadi, ... Earth Science Informatics 18 (3), 263, 2025 | | 2025 |
M.A.GhorbaniUniversity of Tabriz and Near East UniversityVahvistettu sähköpostiosoite verkkotunnuksessa tabrizu.ac.ir
