Groundwater potential mapping using C5. 0, random forest, and multivariate adaptive regression spline models in GIS A Golkarian, SA Naghibi, B Kalantar, B Pradhan Environmental monitoring and assessment 190, 1-16, 2018 | 230 | 2018 |
Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran K Khosravi, M Panahi, A Golkarian, SD Keesstra, PM Saco, DT Bui, S Lee Journal of Hydrology 591, 125552, 2020 | 171 | 2020 |
Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities O Rahmati, A Golkarian, T Biggs, S Keesstra, F Mohammadi, ... Journal of Environmental Management 236, 466-480, 2019 | 140 | 2019 |
GIS-based groundwater spring potential mapping using data mining boosted regression tree and probabilistic frequency ratio models in Iran SM Mousavi, A Golkarian, SA Naghibi, B Kalantar, B Pradhan Aims Geosci 3 (1), 91-115, 2017 | 89 | 2017 |
Use of a maximum entropy model to identify the key factors that influence groundwater availability on the Gonabad Plain, Iran A Golkarian, O Rahmati Environmental Earth Sciences 77, 1-20, 2018 | 72 | 2018 |
Using optimized deep learning to predict daily streamflow: A comparison to common machine learning algorithms K Khosravi, A Golkarian, JP Tiefenbacher Water Resources Management 36 (2), 699-716, 2022 | 64 | 2022 |
Improving daily stochastic streamflow prediction: Comparison of novel hybrid data-mining algorithms K Khosravi, A Golkarian, MJ Booij, R Barzegar, W Sun, ZM Yaseen, ... Hydrological sciences journal 66 (9), 1457-1474, 2021 | 51 | 2021 |
Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach K Khosravi, A Golkarian, AM Melesse, RC Deo Journal of Hydrology 610, 127963, 2022 | 31 | 2022 |
Spatial variability of soil water erosion: Comparing empirical and intelligent techniques A Golkarian, K Khosravi, M Panahi, JJ Clague Geoscience Frontiers 14 (1), 101456, 2023 | 30 | 2023 |
Assessment of resilience to drought of rural communities in Iran SA Khatibi, A Golkarian, A Mosaedi, H Sojasi Qeidari Journal of Social Service Research 45 (2), 151-165, 2019 | 26 | 2019 |
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 |
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer K Khosravi, R Barzegar, A Golkarian, G Busico, E Cuoco, M Mastrocicco, ... Journal of Contaminant Hydrology 242, 103849, 2021 | 21 | 2021 |
Evaluation and mapping of desertification condition in FAKHRABAD-MEHRIZ region with the ICD and MICD models H AHMADI, EAS ABRISHAM, MR Ekhtesasi, M Jafari, A Golkarian DESERT (BIABAN) 10 (1), 37-50, 2005 | 15 | 2005 |
The use of hybrid machine learning models for improving the GALDIT model for coastal aquifer vulnerability mapping M Bordbar, K Khosravi, D Murgulet, FTC Tsai, A Golkarian Environmental Earth Sciences 81 (15), 402, 2022 | 13 | 2022 |
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 |
Study on soil water retention and infiltration rate: a case study in eastern Iran S Moazeni-Noghondar, A Golkarian, M Azari, B Asgari Lajayer Environmental Earth Sciences 80, 1-18, 2021 | 9 | 2021 |
Social network analysis of local stakeholders in Governance of water resources (Case study: watershed of Kharve Olya-Neyshabur city) M Hoseini, A Golkarian Journal of Range and Watershed Managment 72 (3), 683-698, 2019 | 9 | 2019 |
Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches K Khosravi, A Golkarian, E Omidvar, J Hatamiafkoueieh, M Shirali Acta Geophysica 71 (2), 1015-1031, 2023 | 7 | 2023 |
The effect of climatic and geology parameters on groundwater resources quantitative and qualitative (Case study: Mahvelat) H Najafzadeh, G Zehtabian, H Khosravi, A Golkarian Iranian journal of Ecohydrology 2 (3), 325-336, 2015 | 7 | 2015 |
Assessment and mapping of desertification using modified MEDALUS model in Fakhrabad-Mehriz (Yazd). H Ahmadi, MR Ekhtesasi, A Golkarian, E Abrisham | 7 | 2006 |