The application of artificial intelligence (AI) and machine learning in geohazard modelling
has been rapidly growing in recent years, a trend that is observed in several research and …

Shear strength of the soil is an important engineering parameter used in the design and
audit of geo-technical structures. In this research, we aim to investigate and compare the …

To perform landslide susceptibility prediction (LSP), it is important to select appropriate
mapping unit and landslide-related conditioning factors. The efficient and automatic multi …

Due to human mining action, relatively fragile open-pit mine rock slopes are prone to
instability induced by heavy rain. Accurately identifying the information and area of …

Accurately recognizing landslide deformation regions is important for understanding the
mechanisms of landslides and predicting landslide disasters. Using slopes in Dayu County …

In some studies on landslide susceptibility mapping (LSM), landslide boundary and spatial
shape characteristics have been expressed in the form of points or circles in the landslide …

Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices,
and can cause social upheaval and loss of life. As a result, many scientists study the …

Landslide is considered as one of the most severe threats to human life and property in the
hilly areas of the world. The number of landslides and the level of damage across the globe …

Nowadays, a number of machine learning prediction methods are being applied in the field
of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In …

Flooding is one of the most significant environmental challenges and can easily cause fatal
incidents and economic losses. Flood reduction is costly and time-consuming task; so it is …