Landslides are considered to be calamitous natural hazards commonly recurring in the
Indian Himalayas. Majority of landslides are induced by prolonged or heavy rainfall. Rainfall …

Protecting the safety of occupants and the environment is a core value within Facilities
Management. Data acquisition systems such as wireless sensor networks can help to …

This paper presents a novel machine learning approach backed by ensembling machine
learning algorithms to build landslide susceptibility maps. The results reveal that this …

Wenchuan was designated as one of the earthquake-stricken areas after the 2008 5.12-
magnitude Wenchuan earthquake. During the decade following the earthquake, many post …

Weather forecasting refers to the prediction of atmospheric conditions depending on a given
time and location. Weather prediction is essential and it plays a significant role in many …

Landslides could cause huge damages to properties and severe loss of lives. Landslides
can be detected by analyzing the environmental data collected by wireless sensor networks …

The subject of present paper is the rainfall prediction with knowledge of two input
parameters on which the rainfall is strongly connected ie temperature and humidity. The …

Objective: The paper aims in presenting a prediction model by using Support Vector
Machine (SVM) technique which is meant to possess a strong capability to predict landslides …

Rainfall has a significant impact on human life in many areas, including natural disasters
such as agriculture, droughts, floods, and landslides. Artificial intelligence technologies have …

With the advancement of modern sensing technology and network communication, the
geological disaster monitoring and early warning technology is changing toward …