Mahdi Panahi

发表

USAR simulation system: presenting spatial strategies in agents' task allocation under uncertainties

Ali Asghar Alesheikh, Navid Hooshangi, Mahdi Panahi, 2020 .

Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

Wei Chen, Shaojun Li, Paraskevas Tsangaratos, 2019, CATENA.

GIS modeling of seismic vulnerability of residential fabrics considering geotechnical, structural, social and physical distance indicators in Tehran using multi-criteria decision-making techniques

Fatemeh Rezaie, Mahdi Panahi, M. Panahi, 2014 .

Development of novel hybridized models for urban flood susceptibility mapping

Hamid Darabi, Zahra Kalantari, Omid Rahmati, 2020, Scientific Reports.

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

Wei Chen, Biswajeet Pradhan, Saro Lee, 2018, Sensors.

Mapping of Post-Wildfire Burned Area Using a Hybrid Algorithm and Satellite Data: The Case of the Camp Fire Wildfire in California, USA

Chang-Wook Lee, Mahdi Panahi, Mutiara Syifa, 2020, Remote. Sens..

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

Hamid Reza Pourghasemi, Saro Lee, Khabat Khosravi, 2019, Applied Sciences.

Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538

Nhat-Duc Hoang, Saro Lee, Dieu Tien Bui, 2019, Remote. Sens..

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides

Nhat-Duc Hoang, Saro Lee, Dieu Tien Bui, 2018, Remote. Sens..

Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

Dieu Tien Bui, Binh Thai Pham, Himan Shahabi, 2019, CATENA.

The Capacitated Location-Allocation Problem Using the VAOMP (Vector Assignment Ordered Median Problem) Unified Approach in GIS (Geospatial Information Systam)

Ali Asghar Alesheikh, Chang-Wook Lee, Alireza Vafaeinejad, 2020 .

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

Wei Chen, Dieu Tien Bui, Himan Shahabi, 2018, Remote. Sens..

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.

A-Xing Zhu, Wei Chen, Ataollah Shirzadi, 2018, The Science of the total environment.

Deep learning neural networks for spatially explicit prediction of flash flood probability

Ataollah Shirzadi, Himan Shahabi, Ebrahim Omidvar, 2020 .

GIS-Based SWARA and Its Ensemble by RBF and ICA Data-Mining Techniques for Determining Suitability of Existing Schools and Site Selection of New School Buildings

Hamid Reza Pourghasemi, Mohammad Yekrangnia, Fatemeh Rezaie, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

Hybridized neural fuzzy ensembles for dust source modeling and prediction

Biswajeet Pradhan, Ravinesh C. Deo, Dieu Tien Bui, 2020 .

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

Yi Wang, Shaojun Li, Wei Chen, 2019, Applied Sciences.

Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability

Himan Shahabi, Abolfazl Jaafari, Mahdi Panahi, 2019, Agricultural and Forest Meteorology.

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)

Biswajeet Pradhan, Saro Lee, Dieu Tien Bui, 2019, Sensors.

Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling

Hamid Reza Pourghasemi, Wei Chen, Mahdi Panahi, 2017 .

Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)

Himan Shahabi, Ataollah Shirzadi, Mohammad Hossein Karimi, 2019 .

Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling

Khabat Khosravi, Binh Thai Pham, Moung-Jin Lee, 2021 .

Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms

Quoc Bao Pham, Ljubomir Gigović, Abdul-Lateef Balogun, 2021, Geoscience Frontiers.

Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine

Hamid Reza Pourghasemi, Mahdi Panahi, Saro Lee, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates

Omid Rahmati, Fatemeh Rezaie, Mahdi Panahi, 2022, CATENA.

Application of Machine Learning Algorithms for Geogenic Radon Potential Mapping in Danyang-Gun, South Korea

Mohsen Alizadeh, Jongchun Lee, Fatemeh Rezaie, 2021, Frontiers in Environmental Science.

Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility

Mahdi Panahi, Saro Lee, Wei Chen, 2021, Remote. Sens..

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

Wei Chen, Wei Chen, Mahdi Panahi, 2021, Geoscience Frontiers.

Flood Susceptibility Prediction Using Hybrid-Based Approaches of Support Vector Regression Model and Meta-Heuristic Algorithms

Ali Asghar Alesheikh, Mahdi Panahi, Saro Lee, 2021 .

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

Omid Ghorbanzadeh, Khabat Khosravi, Mahdi Panahi, 2021, Geoscience Frontiers.

A comprehensive study of new hybrid models for Adaptive Neuro-Fuzzy Inference System (ANFIS) with Invasive Weed Optimization (IWO), Differential Evolution (DE), Firefly (FA), Particle Swarm Optimization (PSO) and Bees (BA) algorithms for spatial prediction of groundwater spring potential mapping

Dieu Tien Bui, Khabat Khosravi, Mahdi Panahi, 2018 .

Seismic vulnerability assessment of school buildings in Tehran city based on AHP and GIS

Fatemeh Rezaie, Mahdi Panahi, M. Panahi, 2014 .

The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers

Dieu Tien Bui, Hamid Darabi, Omid Rahmati, 2020, CATENA.

Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms.

Hamid Reza Pourghasemi, Fatemeh Rezaie, Mahdi Panahi, 2020, The Science of the total environment.

GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models.

Wei Chen, Baharin Bin Ahmad, Mahdi Panahi, 2018, The Science of the total environment.

Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia.

Zahra Kalantari, Omid Rahmati, Mahdi Panahi, 2019, The Science of the total environment.

Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)

Hamid Reza Pourghasemi, Fatemeh Rezaie, Mahdi Panahi, 2020, Journal of Hydrology.

Landslide susceptibility assessment using a novel hybrid model of statistical bivariate methods (FR and WOE) and adaptive neuro-fuzzy inference system (ANFIS) at southern Zagros Mountains in Iran

Biswajeet Pradhan, Mahdi Panahi, Iman Nasiri Aghdam, 2017, Environmental Earth Sciences.