| Flood detection and susceptibility mapping using sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on k-nearest … H Shahabi, A Shirzadi, K Ghaderi, E Omidvar, N Al-Ansari, JJ Clague, ... Remote Sensing 12 (2), 266, 2020 | 304 | 2020 |
| Landslide susceptibility assessment by novel hybrid machine learning algorithms B Thai Pham, A Shirzadi, H Shahabi, E Omidvar, SK Singh, M Sahana, ... Sustainability 11 (16), 4386, 2019 | 167 | 2019 |
| Shallow landslide prediction using a novel hybrid functional machine learning algorithm D Tien Bui, H Shahabi, E Omidvar, A Shirzadi, M Geertsema, JJ Clague, ... Remote Sensing 11 (8), 931, 2019 | 123 | 2019 |
| Deep learning neural networks for spatially explicit prediction of flash flood probability M Panahi, A Jaafari, A Shirzadi, H Shahabi, O Rahmati, E Omidvar, S Lee, ... Geoscience Frontiers 12 (3), 101076, 2021 | 116 | 2021 |
| New ensemble models for shallow landslide susceptibility modeling in a semi-arid watershed D Tien Bui, A Shirzadi, H Shahabi, M Geertsema, E Omidvar, JJ Clague, ... Forests 10 (9), 743, 2019 | 111 | 2019 |
| GIS-based gully erosion susceptibility mapping: a comparison of computational ensemble data mining models VH Nhu, S Janizadeh, M Avand, W Chen, M Farzin, E Omidvar, A Shirzadi, ... Applied Sciences 10 (6), 2039, 2020 | 98 | 2020 |
| Development of a novel hybrid intelligence approach for landslide spatial prediction PT Nguyen, TT Tuyen, A Shirzadi, BT Pham, H Shahabi, E Omidvar, ... Applied Sciences 9 (14), 2824, 2019 | 75 | 2019 |
| Contribution of climatic variability and human activities to stream flow changes in the Haraz River basin, northern Iran A Pirnia, H Darabi, B Choubin, E Omidvar, C Onyutha, AT Haghighi Journal of Hydro-Environment Research 25, 12-24, 2019 | 70 | 2019 |
| Sediment yield, runoff and hydraulic characteristics in straw and rock fragment covers E Omidvar, Z Hajizadeh, H Ghasemieh Soil and Tillage Research 194, 104324, 2019 | 65 | 2019 |
| Optimization of statistical and machine learning hybrid models for groundwater potential mapping P Yariyan, M Avand, E Omidvar, QB Pham, NTT Linh, JP Tiefenbacher Geocarto International 37 (13), 3877-3911, 2022 | 59 | 2022 |
| Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran M Panahi, K Khosravi, S Ahmad, S Panahi, S Heddam, AM Melesse, ... Journal of Hydrology: Regional Studies 35, 100825, 2021 | 50 | 2021 |
| A novel intelligence approach of a sequential minimal optimization-based support vector machine for landslide susceptibility mapping BT Pham, I Prakash, W Chen, HB Ly, LS Ho, E Omidvar, VP Tran, ... Sustainability 11 (22), 6323, 2019 | 46 | 2019 |
| Watershed prioritization in order to implement soil and water conservation practices M Fallah, A Kavian, E Omidvar Environmental Earth Sciences 75, 1-17, 2016 | 44 | 2016 |
| Landslide susceptibility mapping using multiple regression and GIS tools in Tajan basin, north of Iran. SM Eshghabad, K Solaimani, E Omidvar | 27 | 2012 |
| A country-wide assessment of Iran's land subsidence susceptibility using satellite-based InSAR and machine learning M Panahi, K Khosravi, A Golkarian, M Roostaei, R Barzegar, E Omidvar, ... Geocarto International 37 (26), 14065-14087, 2022 | 22 | 2022 |
| An optimization on machine learning algorithms for mapping snow avalanche susceptibility P Yariyan, E Omidvar, F Minaei, R Ali Abbaspour, JP Tiefenbacher Natural Hazards, 1-36, 2022 | 16 | 2022 |
| The Application of RUSLE Model in Spatial DistributionDetermination of Soil loss Hazard M Mohammadi, M Fallah, A Kavian, L Gholami, E Omidvar Iranian journal of Ecohydrology 3 (4), 645-658, 2016 | 16 | 2016 |
| Evaluation and prediction of meteorological drought conditions using time-series and genetic programming models E Omidvar, ZN Tahroodi Journal of Earth System Science 128, 1-16, 2019 | 13 | 2019 |
| Efficiency of some meteorological drought indices in different time scales (case study: Tajan Basin, Iran) S Mashari Eshghabad, E Omidvar, K Solaimani Ecopersia 2 (1), 441-453, 2014 | 13 | 2014 |
| Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models K Khosravi, A Golkarian, R Barzegar, MT Aalami, S Heddam, E Omidvar, ... Pedosphere 33 (3), 479-495, 2023 | 9 | 2023 |
Ataollah ShirzadiDept. of Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj, IranEmail được xác minh tại uok.ac.ir