| Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran BM M.A. Ghorbani, Ravinesh C.Deo, Zaher Mundher Yaseen, Mahsa H.Kashani Theor Appl Climatol, 1-13, 2017 | 181* | 2017 |
| Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation A Moghaddamnia, R Remesan, MH Kashani, M Mohammadi, D Han, ... Journal of Atmospheric and Solar-Terrestrial Physics 71 (8-9), 975-982, 2009 | 175 | 2009 |
| Forecast of rainfall distribution based on fixed sliding window long short-term memory C Chen, Q Zhang, MH Kashani, C Jun, SM Bateni, SS Band, SS Dash, ... Engineering Applications of Computational Fluid Mechanics 16 (1), 248-261, 2022 | 137 | 2022 |
| Evaluation of efficiency of different estimation methods for missing climatological data M Hasanpour Kashani, Y Dinpashoh Stochastic environmental research and risk assessment 26, 59-71, 2012 | 131 | 2012 |
| 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 | 113 | 2020 |
| Comparison of three artificial intelligence techniques for discharge routing R Khatibi, MA Ghorbani, MH Kashani, O Kisi Journal of hydrology 403 (3-4), 201-212, 2011 | 93 | 2011 |
| 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 | 70 | 2020 |
| The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State A Malik, A Kumar, MA Ghorbani, MH Kashani, O Kisi, S Kim Hydrology Research 50 (6), 1623-1644, 2019 | 59 | 2019 |
| Multiple AI model integration strategy—application to saturated hydraulic conductivity prediction from easily available soil properties MH Kashani, MA Ghorbani, M Shahabi, SR Naganna, L Diop Soil and Tillage Research 196, 104449, 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 | 48 | 2019 |
| Integration of Volterra model with artificial neural networks for rainfall-runoff simulation in forested catchment of northern Iran MH Kashani, MA Ghorbani, Y Dinpashoh, S Shahmorad Journal of Hydrology 540, 340-354, 2016 | 43 | 2016 |
| Ionospheric TEC forecasting using Gaussian process regression (GPR) and multiple linear regression (MLR) in Turkey S Inyurt, M Hasanpour Kashani, A Sekertekin Astrophysics and Space Science 365, 1-17, 2020 | 39 | 2020 |
| Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity SG Mohammad Ali Ghorbani, Ravinesh CDeo, Mahsa H.Kashani, Mahmoud Shahabi Soil and Tillage Research 186, 152-164, 2019 | 37 | 2019 |
| Comparison of different methods for developing a stage–discharge curve of the Kizilirmak River M Hasanpour Kashani, R Daneshfaraz, MA Ghorbani, MR Najafi, O Kisi Journal of Flood Risk Management 8 (1), 71-86, 2015 | 30 | 2015 |
| Probability distribution functions for unit hydrographs with optimization using genetic algorithm A Ghorbani M.A., Singh V.P., Sivakumar B., Kashani M. H., Arvind Atre A. Applied Water Science, 2015 | 25* | 2015 |
| Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning MA Ghorbani, R Khatibi, VP Singh, E Kahya, H Ruskeepää, MK Saggi, ... Scientific reports 10 (1), 8589, 2020 | 21 | 2020 |
| Hybrid support vector regression models with algorithm of innovative gunner for the simulation of groundwater level T Roshni, E Mirzania, M Hasanpour Kashani, QAT Bui, S Shamshirband Acta Geophysica 70 (4), 1885-1898, 2022 | 20 | 2022 |
| Entropy analysis and pattern recognition in rainfall data, north Algeria MA Ghorbani, E Kahya, T Roshni, MH Kashani, A Malik, S Heddam Theoretical and Applied Climatology 144, 317-326, 2021 | 17 | 2021 |
| Comparison of Volterra model and artificial neural networks for rainfall–runoff simulation M Hasanpour Kashani, MA Ghorbani, Y Dinpashoh, S Shahmorad Natural Resources Research 23 (3), 341-354, 2014 | 15 | 2014 |
M.A.GhorbaniUniversity of Tabriz and Near East UniversityVerified email at tabrizu.ac.ir