| River water quality index prediction and uncertainty analysis: A comparative study of machine learning models SBHS Asadollah, A Sharafati, D Motta, ZM Yaseen Journal of environmental chemical engineering 9 (1), 104599, 2021 | 301 | 2021 |
| The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty A Sharafati, SBHS Asadollah, M Hosseinzadeh Process Safety and Environmental Protection 140, 68-78, 2020 | 148 | 2020 |
| A new artificial intelligence strategy for predicting the groundwater level over the Rafsanjan aquifer in Iran A Sharafati, SBHS Asadollah, A Neshat Journal of Hydrology 591, 125468, 2020 | 107 | 2020 |
| Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysis A Sharafati, SB Haji Seyed Asadollah, D Motta, ZM Yaseen Hydrological Sciences Journal 65 (12), 2022-2042, 2020 | 90 | 2020 |
| Application of bagging ensemble model for predicting compressive strength of hollow concrete masonry prism A Sharafati, SBHS Asadollah, N Al-Ansari Ain Shams Engineering Journal 12 (4), 3521-3530, 2021 | 55 | 2021 |
| An efficient strategy for predicting river dissolved oxygen concentration: Application of deep recurrent neural network model SV Moghadam, A Sharafati, H Feizi, SMS Marjaie, SBHS Asadollah, ... Environmental Monitoring and Assessment 193, 1-18, 2021 | 38 | 2021 |
| Application of ensemble machine learning model in downscaling and projecting climate variables over different climate regions in Iran SBHS Asadollah, A Sharafati, S Shahid Environmental Science and Pollution Research, 1-20, 2022 | 25 | 2022 |
| Prediction of heat waves using meteorological variables in diverse regions of Iran with advanced machine learning models SBHS Asadollah, N Khan, A Sharafati, S Shahid, ES Chung, XJ Wang Stochastic environmental research and risk assessment, 1-16, 2022 | 24 | 2022 |
| Scouring depth assessment downstream of weirs using hybrid intelligence models A Sharafati, M Haghbin, SB Haji Seyed Asadollah, NK Tiwari, N Al-Ansari, ... Applied Sciences 10 (11), 3714, 2020 | 19 | 2020 |
| Long-Term Water Quality Monitoring: Using Satellite Images for Temporal and Spatial Monitoring of Thermal Pollution in Water Resources R Naimaee, A Kiani, S Jarahizadeh, SB Haji Seyed Asadollah, ... Sustainability 16 (2), 646, 2024 | 18 | 2024 |
| Machine learning model development for predicting aeration efficiency through Parshall flume Sangeeta, SB Haji Seyed Asadollah, A Sharafati, P Sihag, N Al-Ansari, ... Engineering Applications of Computational Fluid Mechanics 15 (1), 889-901, 2021 | 17 | 2021 |
| Optimizing machine learning for agricultural productivity: A novel approach with RScv and remote sensing data over Europe SBHS Asadollah, A Jodar-Abellan, MÁ Pardo Agricultural Systems 218, 103955, 2024 | 14 | 2024 |
| Assessing the impact of climate change on urban water demand and related uncertainties: a case study of Neyshabur, Iran A Sharafati, SBHS Asadollah, A Shahbazi Theoretical and Applied Climatology 145 (1), 473-487, 2021 | 13 | 2021 |
| Estimating the transient storage parameters for pollution modeling in small streams: a comparison of newly developed hybrid optimization algorithms M Ehteram, A Sharafati, SBHS Asadollah, A Neshat Environmental Monitoring and Assessment 193 (8), 475, 2021 | 12 | 2021 |
| Estimation of soil moisture from remote sensing products using an ensemble machine learning model: a case study of Lake Urmia Basin, Iran SBHS Asadollah, A Sharafati, M Saeedi, S Shahid Earth Science Informatics 17 (1), 385-400, 2024 | 10 | 2024 |
| Determination of discharge coefficient of stepped morning glory spillway using a hybrid data-driven method M Haghbin, A Sharafati, R Aghamajidi, SBHS Asadollah, MHM Noghani, ... Flow Measurement and Instrumentation 85, 102161, 2022 | 9 | 2022 |
| Satellite-based prediction of surface dust mass concentration in southeastern Iran using an intelligent approach SBHS Asadollah, A Sharafati, D Motta, A Jodar-Abellan, MÁ Pardo Stochastic Environmental Research and Risk Assessment 37 (10), 3731-3745, 2023 | 8 | 2023 |
| A novel intelligent approach for predicting meteorological drought based on satellite-based precipitation product: Application of an EMD-DFA-DBN hybrid model A Ghozat, A Sharafati, SBHS Asadollah, D Motta Computers and Electronics in Agriculture 211, 107946, 2023 | 7 | 2023 |
| Post-processing of the UKMO ensemble precipitation product over various regions of Iran: integration of long short-term memory model with principal component analysis S Alizadeh, SBHS Asadollah, A Sharafati Theoretical and Applied Climatology 150 (1), 453-467, 2022 | 6 | 2022 |
| Application of bagging ensemble model for predicting compressive strength of hollow concrete masonry prism. Ain Shams Eng J 12 (4): 3521–3530 A Sharafati, S Asadollah, N Al-Ansari | 5 | 2021 |
Davide MottaUniversity College LondonBestätigte E-Mail-Adresse bei ucl.ac.uk
