In this study, a landslide susceptibility assessment is performed by combining two machine
learning regression algorithms (MLRA), such as support vector regression (SVR) and …

The present study involved the landslide susceptibility mapping of Indian state of Meghalaya
by using the frequency ratio (FR) and Analytical Hierarchy Process (AHP)-VlseKriterijuska …

We conducted a systematic literature review of 105 landslide susceptibility studies in Italy
from 1980 to 2023, retrieved from the Scopus database. We discovered that Italian …

Landslide is one of the natural calamities that severely affect society and economy,
specifically in the mountainous regions. Monitoring of the possible landslide areas is …

Landslides are significantly influenced by the properties of the geological materials. As such,
effective landslide susceptibility and hazard assessment necessitates the use of carefully …

This article presents an overview and a concise review of a global promotion of
understanding and reducing landslide disaster risk, based on 2 years of publication of …

Anthropogenic-induced changes in climate and its resultant extreme climatic events, such as
changes in the annual cycles of precipitation and fire with accelerating global mean …

Disasters can greatly impact society, especially vulnerable groups such as older people,
children, women, and people with disabilities due to their physical, mental, and social …

The hills of Himalayan region are rich in flora and fauna diversity. The recent developmental
activities (specifically industries and tourism) are adversely impacting the biodiversity of …

Abstract Sekolah Siaga Bencana sebagai solusi dalam mereduksi dampak dari bencana
terhadap kelompok rentan, terutama anak-anak di sekolah. Pengabdian ini bertujuan untuk …