Riverside landslides present a significant geohazard globally, posing threats to
infrastructure and human lives. In line with the United Nations' Sustainable Development …

For decades, the distinction between statistical models and machine learning ones has
been clear. The former are optimized to produce interpretable results, whereas the latter …

Landslides are one of the most common geological hazards worldwide, especially in
Sichuan Province (Southwest China). The current study's main purposes are to explore the …

Abstract Machine learning methods require a vast amount of data to train a model. The data
necessary for landslide susceptibility map** is a collection of landslide causative factors …

Predicting landslides is becoming a crucial global challenge for sustainable development in
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …

Landslide susceptibility assessment is the globally approved procedure to prepare geo-
hazard maps of landslide-prone areas, which are highly used in urban management and …

Complex and fragile geological conditions combined with periodic fluctuations in reservoir
water levels have led to frequent landslide disasters in the Three Gorges Reservoir area …

The landslide susceptibility assessment (LSA) of bedrock and overburden layer slopes
subjected to earthquake action remains a challenging issue. In this study, an LSA method …

The aim of this study is to investigate the impacts of the sampling strategy of landslide and
non-landslide on the performance of landslide susceptibility assessment (LSA). The study …

The stability of tower foundation slopes is an important factor to maintain the operation of a
power system. However, it is time-consuming and expensive to evaluate tower foundation …