Within the paradigm of smart cities, smart devices can be considered as a tool to enhance
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …

With the trend of global warming and destructive human activities, the frequent occurrences
of catastrophes have posed devastating threats to human life and social stability worldwide …

Twitter is recently being used during crises to communicate with officials and provide rescue
and relief operation in real time. The geographical location information of the event, as well …

In recent years, analysis of remote sensing imagery is imperatives in the domain of
environmental and climate monitoring primarily for the application of detecting and …

Natural disasters are events that are difficult to avoid. There are several ways of reducing the
risks of natural disasters. One of them is implementing disaster reduction programs. There …

Fast and accurate P-wave arrival picking significantly affects the performance of earthquake
early warning (EEW) systems. Automated P-wave picking algorithms used in EEW have …

We proposed an approach for temporal event detection using deep learning and multi-
embedding on a set of text data from social media. First, a convolutional neural network …

Abstract Machine Learning (ML) is a potential tool that can be used to make predictions on
the future based on the past history data. It constructs a model from input examples to make …

Disaster information acquisition and assessment in China primarily depends on disaster-
related governmental departments at all levels. As new challenges faced by disaster …

Earthquakes have a deep impact on wide areas, and emergency rescue operations may
benefit from social media information about the scope and extent of the disaster. Therefore …