With the increasing threat of recurring landslides, susceptibility maps are expected to play a
bigger role in promoting our understanding of future landslides and their magnitude. This …

: Landslides have multidimensional effects on the socioeconomic as well as environmental
conditions of the impacted areas. The aim of this study is the spatial prediction of landslide …

This research focuses on presenting new models based on classifiers that can be applied to
various problems. Adaboost is a type of ensemble learning machine that uses classifiers …

Groundwater is the most important natural resource in many parts of the world that requires
advanced new technologies for monitoring and control. This study presents a comparative …

Landslide is a natural hazard which causes huge loss of properties and human life in many
places of the world. Mapping of landslide susceptibility is an important task for preventing …

Landslide susceptibility mapping has become one of the most important tools for the
management of landslide hazards. In this study, we proposed a novel approach to improve the …

Background: Consolidation coefficient (Cv) is a key parameter to forecast consolidation
settlement of soft soil foundation as well as in treatment design of soft soil foundation, especially …

In traditional text based medical image retrieval system, it is hard to find visually similar images
in large medical image database. Content-based image retrieval is developed to retrieve …

This study estimates the effect of COVID-19 on listed small and medium enterprises’ capital
structures in Vietnam from 2010 to 2020 by a dynamic panel model with 825 observations. …

ABSTRACT Purpose: The study aims to explore corporate social responsibility and corporate
governance issues such as the board of directors’ characteristics that affect the financial …