| Sustainable groundwater modeling using single-and multi-objective optimization algorithms S Sadeghi-Tabas, SZ Samadi, A Akbarpour, M Pourreza-Bilondi Journal of Hydroinformatics 19 (1), 97-114, 2017 | 64 | 2017 |
| On the assessment of ground water parameter uncertainty over an arid aquifer BS Hamraz, A Akbarpour, M Pourreza Bilondi, S Sadeghi Tabas Arabian journal of Geosciences 8, 10759-10773, 2015 | 47 | 2015 |
| Spatio-temporal assessment of global gridded evapotranspiration datasets across Iran D Moshir Panahi, S Sadeghi Tabas, Z Kalantari, CSS Ferreira, ... Remote Sensing 13 (9), 1816, 2021 | 23 | 2021 |
| A national scale big data analytics pipeline to assess the potential impacts of flooding on critical infrastructures and communities N Donratanapat, S Samadi, JM Vidal, SS Tabas Environmental Modelling & Software 133, 104828, 2020 | 22 | 2020 |
| Toward reliable calibration of aquifer hydrodynamic parameters: characterizing and optimization of arid groundwater system using swarm intelligence optimization algorithm S Sadeghi-Tabas, A Akbarpour, M Pourreza-Bilondi, S Samadi Arabian Journal of Geosciences 9, 1-12, 2016 | 17 | 2016 |
| Variational Bayesian dropout with a Gaussian prior for recurrent neural networks application in rainfall–runoff modeling SS Tabas, S Samadi Environmental Research Letters 17 (6), 065012, 2022 | 13 | 2022 |
| Daily rainfall-runoff modeling with least square support vector machine (ls-svm) M Pourreza Bilondi, A Khashei Siuki, S Sadeghi Tabas Journal of Water and Soil Conservation 21 (6), 293-304, 2015 | 7 | 2015 |
| Application of cuckoo optimization algorithm in automatic calibration of aquifer hydrodynamic parameters using mathematical model S Sadeghi Tabas, A Akbarpour, M Pourreza Bilondi, SZ Samadi Iranian Journal of Irrigation & Drainage 9 (2), 345-356, 2015 | 6 | 2015 |
| Prediction of One year trend of changes in water table using open source code: A case study of Birjand plain, southern Khorasan provience H Saeedi, A Baqvand, MH Niksokhan, A Akbapour, SS Tabas International Bulletin of Water Resources and Development 3 (2), 67-75, 2015 | 4 | 2015 |
| FlowDyn: a dynamic web-based streamflow prediction pipeline N Humaira, SS Tabas, S Samadi, NC Hubig 2021 IEEE International Conference on Big Data (Big Data), 757-767, 2021 | 3 | 2021 |
| Application of Multi Objective Optimization Method AMALGAM in detemining the policy of Optimum Discharge from Groundwater Resources using mathematical model SS Tabas, MP Bilondi, A Akbarpour, SZ Samadi Iranian Journal of Irrigation and Drainage 9 (3), 470-480, 2015 | 3 | 2015 |
| Comparison of optimization and uncertainty analysis methods in hydrological modeling S Sadeghi Tabas, M Pourreza Bilondi Journal of Range and Watershed Managment 68 (3), 533-552, 2015 | 2 | 2015 |
| FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications SS Tabas, N Humaira, S Samadi, NC Hubig Environmental Modelling & Software 170, 105854, 2023 | 1 | 2023 |
| Structure learning and transfer learning for streamflow prediction across ungauged basins SS Tabas, V Samadi AGU Fall Meeting 2021, 2021 | 1 | 2021 |
| Investigation of Compound Flooding in the Coastal Transition Zone within Lake Maurepas Watershed and Southeastern Coastal Louisiana MA Rahman, S Sadeghi Tabas, E House, A Storey, E Meselhe, C Ferreira, ... AGU Fall Meeting Abstracts 2021, H45O-1342, 2021 | 1 | 2021 |
| Reinforcement Learning Policy Gradient Methods for Reservoir Operation Management and Control S Sadeghi Tabas | 1 | 2021 |
| Effects of social, political and economic criteria on optimization of saffron cropping pattern by using shuffled frog leaping algorithm S Sadeghi Tabas, A Khashei Siuki, M Pourreza Bilondi, SR Hashemi Journal of Saffron Research 3 (2), 123-133, 2015 | 1 | 2015 |
| Application of Multi Objective Optimization Method AMALGAM in Determining the Policy of Optimum Discharge from Groundwater Resources Using Mathematical Model S Sadeghi Tabas, M Pourreza Bilondi, A Akbarpour, SZ Samadi Iranian Journal of Irrigation & Drainage 9 (3), 469-479, 2015 | 1 | 2015 |
| GDAS-Powered Machine Learning Weather Prediction: A Comparative Study on GraphCast initialized with GDAS States for Global Weather Forecasting S Tabas, J Wang, F Yang, J Levit, I Stajner, R Montuoro, V Tallapragada, ... EGU24, 2024 | | 2024 |
| Machine learning weather prediction model development for global ensemble forecasts at NCEP J Wang, S Tabas, F Yang, J Levit, I Stajner, R Montuoro, V Tallapragada, ... EGU24, 2024 | | 2024 |
