Landslide Susceptibility Assessment Based on Machine Learning Techniques
Measuring landslide susceptibility in Jakholi region of Garhwal Himalaya applying novel ensembles of statistical and machine learning algorithms
Landslide Susceptibility Mapping using GIS-based Frequency Ratio, Shannon Entropy, Information Value and Weight-of-Evidence approaches in part of Kullu district, Himachal Pradesh, India
An advanced hybrid machine learning technique for assessing the susceptibility to landslides in the Meenachil river basin of Kerala, India
Novel ensemble of M5P and Deep learning neural network for predicting landslide susceptibility: A cross-validation approach
Artificial neural network ensemble with General linear model for modeling the Landslide Susceptibility in Mirik region of West Bengal, India
Modeling gully erosion susceptibility using advanced machine learning method in Pathro River Basin, India
Quantitative Assessment of Interferometric Synthetic Aperture 2 Radar(INSAR) for Landslide Monitoring and Mitigation
Assessment of Landslide Vulnerability using Statistical and Machine Learning Methods in Bageshwar District of Uttarakhand, India
Assessing the shifting of the River Ganga along Malda District of West Bengal, India
An ensemble of J48 Decision Tree with AdaBoost, and Bagging for flood susceptibility mapping in the Sundarban of West Bengal, India
Assessment of mouza level flood resilience in lower part of Mayurakshi River basin, Eastern India
Spatial flashflood modeling in Beas River Basin of Himachal Pradesh, India using GIS-based machine learning algorithms
Geospatial study of river shifting and erosion deposition phenomenon along a selected stretch of River Damodar, West Bengal, India
An Evaluation of Hydrological Modeling Using CN Method in Ungauged Barsa River Basin of Pasakha, Bhutan
The Adoption of Random Forest (RF) and Support Vector Machine (SVM) with Cat Swarm Optimization (CSO) to Predict the Soil Liquefaction.