Assessing pipe failure rate and mechanical reliability of water distribution networks using data-driven modeling M Tabesh, J Soltani, R Farmani, D Savic Journal of Hydroinformatics 11 (1), 1-17, 2009 | 219 | 2009 |
Performance comparison of an LSTM-based deep learning model versus conventional machine learning algorithms for streamflow forecasting M Rahimzad, A Moghaddam Nia, H Zolfonoon, J Soltani, ... Water Resources Management 35 (12), 4167-4187, 2021 | 162 | 2021 |
Multi-objective optimal model for conjunctive use management using SGAs and NSGA-II models MMR Tabari, J Soltani Water resources management 27, 37-53, 2013 | 105 | 2013 |
Danandeh Mehr A, Kwon HH (2021) Performance comparison of an LSTM-based deep learning model versus conventional machine learning algorithms for streamflow forecasting M Rahimzad, A Moghaddam Nia, H Zolfonoon, J Soltani Water Resources Management 35 (12), 4167-4187, 0 | 74 | |
Using the combined model of gamma test and neuro-fuzzy system for modeling and estimating lead bonds in reservoir sediments AA Mohammadi, M Yousefi, J Soltani, AG Ahangar, S Javan Environmental Science and Pollution Research 25, 30315-30324, 2018 | 60 | 2018 |
Multi-objective particle swarm optimization model for conjunctive use of treated wastewater and groundwater M Yousefi, ME Banihabib, J Soltani, A Roozbahani Agricultural water management 208, 224-231, 2018 | 50 | 2018 |
Predicting the coefficient of discharge for piano key side weirs using GMDH and DGMDH techniques Y Mehri, J Soltani, M Khashehchi Flow Measurement and Instrumentation 65, 1-6, 2019 | 36 | 2019 |
Artificial neural network (ANN) approach for predicting Cu concentration in drinking water of Chahnimeh1 reservoir in Sistan-Balochistan, Iran AA SHAKERI, AA GHOLAMALIZADEH, J Soltani Health Scope 2 (1), 31-38, 2013 | 31 | 2013 |
Comparison of artificial neural network and multivariate linear regression model to predict sodium adsorption ratio (SAR)(case study: Sistan River, Iran) N Sarani, J Soltani, S Sarani, A Moasheri International Journal of Biological, Ecological and Environmental Sciences 1 …, 2012 | 28 | 2012 |
The relationship between the characteristics of Biochar produced at different temperatures and its impact on the uptake of NO3--N M Ahmadvand, J Soltani, SE Hashemi Garmdareh, M Varavipour Environmental Health Engineering and Management Journal 5 (2), 67-75, 2018 | 24 | 2018 |
Determining optimum cropping pattern using Fuzzy Goal Programming (FGP) model J Soltani, AR Karbasi, SM Fahimifard African Journal of Agricultural Research 6 (14), 3305-3310, 2011 | 23 | 2011 |
A hybrid intelligence model for the prediction of the peak flow of debris floods ME Banihabib, L Jurik, MS Kazemi, J Soltani, M Tanhapour Water 12 (8), 2246, 2020 | 17 | 2020 |
Determination of Effective Parameters in Pipe Failure Rate in Water Distribution System Using the Combination of Artificial Neural Networks and Genetic Algorithm J Soltani, MMR Tabari Journal of Water and Wastewater 23 (3,), 2-15, 2012 | 17 | 2012 |
Fractionation of heavy metals in bottom sediments in Chahnimeh 1, Zabol, Iran S Javan, AH Hassani, AG Ahangar, J Soltani Environmental Monitoring and Assessment 187, 1-11, 2015 | 15 | 2015 |
Determination of optimal combination of applied water and nitrogen for potato yield using response surface methodology (RSM) M Soltani, J Soltani Bioscience Biotechnology Research Communications (Biosc.Biotech.Res.Comm.) 9 …, 2016 | 14 | 2016 |
A hybrid SVR-PSO model to predict concentration of sediment in typical and debris floods MS Kazemi, ME Banihabib, J Soltani Earth Science Informatics 14 (1), 365-376, 2021 | 13 | 2021 |
Predicting Mn concentration in water reservoir using artificial neural network (Chahnimeh1 reservoir, Iran). AG Ahangar, J Soltani, AS Abdolmaleki | 13 | 2013 |
Spatial estimation of groundwater quality parameters based on water salinity data using kriging and cokriging methods M Samin, J Soltani, Z Zeraatcar, SA Moasheri, N Sarani International Conference on Transport, Environment and Civil Engineering, 25-26, 2012 | 12 | 2012 |
Discharge coefficient of a C-type piano key side weir at 30 and 120 sections of a curved channel Y Mehri, J Soltani, M Saneie, M Rostami Civil Engineering Journal 4 (7), 1702-1713, 2018 | 10 | 2018 |
Experimental study and performance comparison on various types of rectangular piano key side weirs at a 120 section of a 180 curved channel Y Mehri, S Esmaeili, J Soltani Applied Water Science 10, 1-13, 2020 | 9 | 2020 |