Prediction of hydropower generation using grey wolf optimization adaptive neuro-fuzzy inference system M Dehghani, H Riahi-Madvar, F Hooshyaripor, A Mosavi, ... Energies 12 (2), 289, 2019 | 199 | 2019 |
Application of copula method and neural networks for predicting peak outflow from breached embankments F Hooshyaripor, A Tahershamsi, S Golian Journal of hydro-environment research 8 (3), 292-303, 2014 | 59 | 2014 |
Caspian Sea is eutrophying: The alarming message of satellite data A Modabberi, R Noori, K Madani, AH Ehsani, AD Mehr, F Hooshyaripor, ... Environmental Research Letters 15 (12), 124047, 2020 | 54 | 2020 |
Metal contamination assessment in water column and surface sediments of a warm monomictic man-made lake: Sabalan Dam Reservoir, Iran S Aradpour, R Noori, Q Tang, R Bhattarai, F Hooshyaripor, ... Hydrology Research 51 (4), 799-814, 2020 | 47 | 2020 |
Daily electricity price forecasting using artificial intelligence models in the Iranian electricity market M Heidarpanah, F Hooshyaripor, M Fazeli Energy 263, 126011, 2023 | 33 | 2023 |
Deriving and evaluating bathymetry maps and stage curves for shallow lakes using remote sensing data N Karimi, MH Bagheri, F Hooshyaripor, A Farokhnia, S Sheshangosht Water Resources Management 30 (14), 5003-5020, 2016 | 28 | 2016 |
Numerical modelling-based comparison of longitudinal dispersion coefficient formulas for solute transport in rivers M Ramezani, R Noori, F Hooshyaripor, Z Deng, A Sarang Hydrological Sciences Journal 64 (7), 808-819, 2019 | 26 | 2019 |
Dam break flood wave under different reservoir’s capacities and lengths F Hooshyaripor, A Tahershamsi, S Razi Sādhanā 42, 1557-1569, 2017 | 24 | 2017 |
ThSSim: A novel tool for simulation of reservoir thermal stratification R Noori, F Tian, G Ni, R Bhattarai, F Hooshyaripor, B Klöve Scientific reports 9 (1), 18524, 2019 | 23 | 2019 |
Effect of reservoir side slopes on dam-break flood waves F Hooshyaripor, A Tahershamsi Engineering Applications of Computational Fluid Mechanics 9 (1), 458-468, 2015 | 21 | 2015 |
Comparing the performance of neural networks for predicting peak outflow from breached embankments when back propagation algorithms meet evolutionary algorithms F Hooshyaripor, A Tahershamsi Int. J. Hydraul. Eng 1 (6), 55-67, 2012 | 20 | 2012 |
Effective prediction of scour downstream of ski-jump buckets using artificial neural networks R Noori, F Hooshyaripor Water resources 41, 8-18, 2014 | 19 | 2014 |
Annual flood damage influenced by El Niño in the Kan River basin, Iran F Hooshyaripor, S Faraji-Ashkavar, F Koohyian, Q Tang, R Noori Natural Hazards and Earth System Sciences 20 (10), 2739-2751, 2020 | 18 | 2020 |
Estimation of peak outflow in dam failure using neural network approach under uncertainty analysis F Hooshyaripor, A Tahershamsi, K Behzadian Water resources 42, 721-734, 2015 | 18 | 2015 |
Reliability of functional forms for calculation of longitudinal dispersion coefficient in rivers R Noori, A Mirchi, F Hooshyaripor, R Bhattarai, AT Haghighi, B Kløve Science of The Total Environment 791, 148394, 2021 | 17 | 2021 |
PODMT3DMS-Tool: proper orthogonal decomposition linked to the MT3DMS model for nitrate simulation in aquifers. R Noori, F Hooshyaripor, S Javadi, M Dodangeh, F Tian, JF Adamowski, ... Hydrogeology Journal 28 (3), 2020 | 17 | 2020 |
Improving Prediction of Dam Failure Peak Outflow Using Neuroevolution Combined with -Means Clustering AH Eghbali, K Behzadian, F Hooshyaripor, R Farmani, AP Duncan Journal of Hydrologic Engineering 22 (6), 04017007, 2017 | 15 | 2017 |
A new methodology for surcharge risk management in urban areas (case study: Gonbad-e-Kavus city) F Hooshyaripor, J Yazdi Water Science and Technology 75 (4), 823-832, 2017 | 12 | 2017 |
Reservoir’s Geometry Impact of Three Dimensions on Peak-Discharge of Dam Failure Flash Flood A Tahershamsi, F Hooshyaripor, S Razi Scientia Iranica 25 (4), 1931-1942, 2018 | 7 | 2018 |
A new concept of drought feeling against the meteorological drought F Hooshyaripor, J Sardari, M Dehghani, R Noori Scientific Reports 12 (1), 16711, 2022 | 6 | 2022 |