Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …

Groundwater potential maps are one of the most important tools for the management of
groundwater storage resources. In this study, we proposed four ensemble soft computing …

Using multiple ensemble learning techniques for improving the predictive accuracy of
landslide models is an active research area. In this study, we combined a radial basis …

Landslide susceptibility mapping (LSM) could be an effective way to prevent landslide
hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM …

The main aim of this study is to assess groundwater potential of the DakNong province,
Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates …

In landslide susceptible mountainous regions, the precondition for avoiding and alleviating
perilous dangers is the susceptibility mapping of the landslide. In northern Pakistan …

Abstract The Three Gorges Reservoir is one of the areas with the most serious landslide
hazards in China. Landslide susceptibility indicates where landslides are prone to occur in …

A landslide disaster, especially a highway landslide, may greatly impact the transport
capacity of nearby roads. Keeping highways open, in particular, is crucial for supporting the …

Study region Yoyo river basin, Méiganga, Adamawa region, Cameroon. Study focus The
study aimed firstly to delineate and classify groundwater prospective zones in granito …

In this study, we have investigated rainfall induced landslide susceptibility of the Uttarkashi
district of India through the developmentof different novel GIS based soft computing …