نام و نام خانوادگی بین تایی فام شغل پژوهشگر خارجی تحصیلات دکترای تخصصی / مهندسی ژئوتکنیک وبسایت پست الکترونیک — مقاله چاپشده در مجلات علمی مقاله ارائه شده کنفرانسی سخنرانی تدریس در کارگاه کتاب نوآوری جذب گرنت پایان نامه کسب مقام در جشنواره طرح پژوهشی خاتمه یافته فروش محصولات دانش بنیان اثر بدیع و ارزنده هنری تدوین استاندارد عنوانمجله 1 Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling? JOURNAL OF HYDROLOGY 2 Predicting sustainable arsenic mitigation using machine learning techniques ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 3 Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning SCIENCE OF THE TOTAL ENVIRONMENT 4 A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers Geocarto International 5 Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm Geoscience Frontiers 6 A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping Engineering Applications of Artificial Intelligence 7 New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed FORESTS 8 Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms International Journal of Environmental Research and Public Health 9 Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran FORESTS 10 A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers Sustainability 11 GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models Applied Sciences-Basel 12 A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India International Journal of Sediment Research 13 Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis The Open Construction & Building Technology Journal 14 Effects of Inter-Basin Water Transfer on Water Flow Condition of Destination Basin Sustainability 15 A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping Water 16 SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment SENSORS 17 A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment Geocarto International 18 A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran) SENSORS 19 Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model Remote Sensing 20 Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms Sustainability 21 Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction Applied Sciences-Basel 22 Land cover change mapping using a combination of Sentinel-1 data and multispectral satellite imagery: A case study of Sanandaj County, Kurdistan, Iran Applied Ecology and Environmental Research 23 Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling FORESTS 24 Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression Applied Sciences-Basel 25 A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods JOURNAL OF HYDROLOGY 26 Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach WATER RESOURCES MANAGEMENT 27 Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm Remote Sensing 28 Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility CATENA 29 Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches CATENA 30 Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping SENSORS 31 A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides Remote Sensing 32 A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran SCIENCE OF THE TOTAL ENVIRONMENT 33 A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China) Environmental Earth Sciences 34 A Novel Hybrid Artificial Intelligence Approach for Flood Susceptibility Assessment ENVIRONMENTAL MODELLING & SOFTWARE 35 A comparative study between popular statistical and machine learning methods for simulating volume of landslides CATENA 36 Shallow landslide susceptibility assessment using a novel hybrid intelligence approach Environmental Earth Sciences