Mahdi Panahi, Ph.D.
Mahdi Panahi, Ph.D.
Department of Physical Geography at Stockholm University
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Landslide detection and susceptibility mapping by airsar data using support vector machine and index of entropy models in cameron highlands, malaysia
D Tien Bui, H Shahabi, A Shirzadi, K Chapi, M Alizadeh, W Chen, ...
Remote Sensing 10 (10), 1527, 2018
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