Name Indra Prakash Affiliation پژوهشگر خارجی Degree _ Website Email — JournalPaper Presentation Speech WorkShop Book Innovation GrantAttraction Thesis Festival FinishedProject Sales Art StandardCreation TitleJournal 1 A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers Geocarto International 2 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 3 Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis The Open Construction & Building Technology Journal 4 Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction Applied Sciences-Basel 5 Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling FORESTS 6 A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods JOURNAL OF HYDROLOGY 7 Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches CATENA 8 A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran SCIENCE OF THE TOTAL ENVIRONMENT