Hong Kong frequently suffers from multi-hazards such as floods, muddy-water flows and
landslides induced by rainstorms. This study presents an improved multi criteria decision …

This research proposed a novel deep learning framework that combines the Laplace
function sparse regularized continuous deep belief network (LSCDBN) and the Gray Wolf …

Marine geological hazard assessment is crucial for the development and utilization of
marine resources, among which submarine landslide susceptibility assessment constitutes a …

This study proposes an approach that considers mitigation strategies in predicting landslide
susceptibility through machine learning (ML) and geographic information system (GIS) …

Landslides are natural disasters that causes significant property damage worldwide every
year. In Korea, damage due to landslides is increasing owing to the effects of climate …

This study aims to empirically and statistically predict soil depths across areas affected by
landslides. Using soil depth measurements from a landslide area in Korea, two sets of soil …

Exploratory data analysis is the process of observing and understanding data collected from
various sources to identify their distributions and correlations through their structures and …

La presente investigación tuvo como finalidad evaluar el riesgo por flujo de detritos de
origen natural en la microcuenca Sahuanay, por medio del método cuantitativo para …

최근 우리나라에서 벌채와 산사태의 연관성에 대한 논란이나 숲가꾸기의 효과에 대한 의문이
제기되면서 산림관리에 대한 중요성이 더욱 강조되고 있다. 그러나 국내에서 이를 뒷받침하기 …