Hazards and disasters have always negative impacts on the way of life. Landslide is an
overwhelming natural as well as man-made disaster that causes loss of natural resources …

This study proposes a comprehensive methodology to the application of an Artificial Neural
Network Ensemble (ANNE) for the mapping of landslide susceptibility. The identification of …

The main purpose of this study aims to apply and compare the rationality of landslide
susceptibility maps using support vector machine (SVM) and particle swarm optimization …

The detection of zones exposed to flash-flood and also the torrential valleys on which flash-
floods are propagated, represents a crucial measure intended to eliminate the issues …

Landslide susceptibility mapping plays an important role in integrated watershed
management planning, especially in the field of land-use planning in landslide-prone areas …

The main purpose of this study was to perform landslide hazard zonation and evaluation
around Debre Markos town, Northwest Ethiopia. This was achieved using a GIS-based …

The main aim of the present study was to produce and compare landslide susceptibility
maps by using five machine learning techniques, namely, artificial neural network (ANN) …

Natural hazards are naturally occurring phenomena that might lead to a negative impact on
the environment and also on the life of living beings. These hazards are caused due to …

Globally, and in Pakistan, among natural hazards, landslides are considered one of the most
dangerous and frequently occurring events having devastating impacts on society and …

Bivariate data-driven methods have been widely used in landslide susceptibility analysis.
However, the names, principles, and correlations of bivariate methods are still confused. In …