| Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution H Hong, M Panahi, A Shirzadi, T Ma, J Liu, AX Zhu, W Chen, I Kougias, ... Science of the total Environment 621, 1124-1141, 2018 | 413 | 2018 |
| Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE … W Chen, M Panahi, HR Pourghasemi Catena 157, 310-324, 2017 | 341 | 2017 |
| GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models W Chen, H Li, E Hou, S Wang, G Wang, M Panahi, T Li, T Peng, C Guo, ... Science of the Total Environment 634, 853-867, 2018 | 321 | 2018 |
| Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran PTT Ngo, M Panahi, K Khosravi, O Ghorbanzadeh, N Kariminejad, ... Geoscience Frontiers 12 (2), 505-519, 2021 | 319 | 2021 |
| Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR) M Panahi, N Sadhasivam, HR Pourghasemi, F Rezaie, S Lee Journal of Hydrology 588, 125033, 2020 | 294 | 2020 |
| Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector … W Chen, HR Pourghasemi, M Panahi, A Kornejady, J Wang, X Xie, S Cao Geomorphology 297, 69-85, 2017 | 292 | 2017 |
| Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability A Jaafari, EK Zenner, M Panahi, H Shahabi Agricultural and forest meteorology 266, 198-207, 2019 | 278 | 2019 |
| Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA) M Ahmadlou, M Karimi, S Alizadeh, A Shirzadi, D Parvinnejhad, ... Geocarto International 34 (11), 1252-1272, 2019 | 272 | 2019 |
| Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility W Chen, M Panahi, P Tsangaratos, H Shahabi, I Ilia, S Panahi, S Li, ... Catena 172, 212-231, 2019 | 268 | 2019 |
| Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide … A Jaafari, M Panahi, BT Pham, H Shahabi, DT Bui, F Rezaie, S Lee Catena 175, 430-445, 2019 | 258 | 2019 |
| Integrated machine learning methods with resampling algorithms for flood susceptibility prediction E Dodangeh, B Choubin, AN Eigdir, N Nabipour, M Panahi, ... Science of the Total Environment 705, 135983, 2020 | 248 | 2020 |
| Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm Y Wang, H Hong, W Chen, S Li, M Panahi, K Khosravi, A Shirzadi, ... Journal of environmental management 247, 712-729, 2019 | 243 | 2019 |
| New hybrids of anfis with several optimization algorithms for flood susceptibility modeling D Tien Bui, K Khosravi, S Li, H Shahabi, M Panahi, VP Singh, K Chapi, ... Water 10 (9), 1210, 2018 | 238 | 2018 |
| Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization W Chen, M Panahi, K Khosravi, HR Pourghasemi, F Rezaie, ... Journal of Hydrology 572, 435-448, 2019 | 192 | 2019 |
| Novel hybrid evolutionary algorithms for spatial prediction of floods DT Bui, M Panahi, H Shahabi, VP Singh, A Shirzadi, K Chapi, K Khosravi, ... Scientific reports 8 (1), 15364, 2018 | 182 | 2018 |
| Multi-hazard probability assessment and mapping in Iran HR Pourghasemi, A Gayen, M Panahi, F Rezaie, T Blaschke Science of the total environment 692, 556-571, 2019 | 180 | 2019 |
| Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization K Khosravi, M Panahi, D Tien Bui Hydrology and Earth System Sciences 22 (9), 4771-4792, 2018 | 174 | 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 | 170 | 2020 |
| Land subsidence susceptibility mapping in south korea using machine learning algorithms D Tien Bui, H Shahabi, A Shirzadi, K Chapi, B Pradhan, W Chen, ... Sensors 18 (8), 2464, 2018 | 164 | 2018 |
| Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer W Chen, X Chen, J Peng, M Panahi, S Lee Geoscience Frontiers 12 (1), 93-107, 2021 | 163 | 2021 |
Saro LeeKorea Institute of Geoscience and Mineral ResourcesBestätigte E-Mail-Adresse bei kigam.re.kr