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

There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …

The main purpose of the present study is to use three state-of-the-art data mining
techniques, namely, logistic model tree (LMT), random forest (RF), and classification and …

Landslide is a natural hazard that results in many economic damages and human losses
every year. Numerous researchers have studied landslide susceptibility mapping (LSM) …

Flood is one of the most destructive natural disasters which cause great financial and life
losses per year. Therefore, producing susceptibility maps for flood management are …

This paper aims to use recurrent neural networks (RNNs) to perform landslide susceptibility
mapping in Yongxin County, China. The two main contributions of this study are summarized …

Climate change has increased frequency, severity and areal extent of droughts across the
world in the last few decades magnifying their adverse impacts. Prediction of droughts is …

Landslides are dangerous events which threaten both human life and property. The study
aims to analyze the landslide susceptibility (LS) in the Kysuca river basin, Slovakia. For this …

Landslides are an important natural hazard that causes a great amount of damage around
the world every year, especially during the rainy season. The Lianhua area is located in the …

In many parts of the world, landslide susceptibility remains inadequately mapped, due to the
lack of both data and suitable methods for widespread implementation. Iran is one of those …