Decision tree-based classifier ensemble methods are a machine learning (ML) technique
that combines several tree models to produce an effective or optimum predictive model, and …

Landslide is the most frequently occurring geo-hazard in mountainous terrains of the world.
It affects human life, infrastructures, landscapes, and human properties as well as their day …

Floods are potentially devastating natural hazards that can threaten human life and
ecosystems. The serious impact caused by floods is the reason for the urgent need to …

Landslides pose a serious risk to human life and the natural environment. Here, we compare
machine learning algorithms including the generalized linear model (GLM), mixture …

Kerala is the third most densely populated state in India, with 860 persons per square
kilometer. The uniqueness and diversity of the state's topology make it highly vulnerable to …

The groundwater potential map is an important tool for a sustainable water management
and land use planning, particularly for agricultural countries like Vietnam. In this article, we …

Jurassic facility-sliding strata have been identified as a fundamental factor affecting the
occurrence of rainfall-reservoir induced landslides in western Hubei Province, China Three …

The primary objective is to propose and verify an ensemble approach based on fuzzy
system and bivariate statistics for landslide susceptibility assessment (LSA) at Azarshahr …

Landslide susceptibility mapping (LSM) enables the prediction of landslide occurrences,
thereby offering a scientific foundation for disaster prevention and control. In recent years …

To prevent and mitigate landslide risks, landslide susceptibility is an essential tool to plan
and manage urban development, especially in hilly regions. This study explores two …