This paper reviews the Flash Drought concept, the uncertainties associated with FD
prediction, and the potential of Machine Learning (ML) and Deep learning (DL) for future …

Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …

The goal of this research is to use social media to gain situational awareness in the wake of
a crisis. With the developments in information and communication technologies, social …

Deep Neural Networks (DNNs) are vulnerable to backdoor attacks, which poison the training
set to alter the model prediction over samples with a specific trigger. While existing efforts …

Social networks are widely used for information consumption and dissemination, especially
during time-critical events such as natural disasters. Despite its significantly large volume …

Recent research in disaster informatics demonstrates a practical and important use case of
artificial intelligence to save human lives and suffering during natural disasters based on …

During a disaster event, images shared on social media helps crisis managers gain
situational awareness and assess incurred damages, among other response tasks. Recent …

During the past decade, social media platforms have been extensively used for information
dissemination by the affected community and humanitarian agencies during a disaster …

Social media datasets have been widely used in disaster assessment and management.
When a disaster occurs, many users post messages in a variety of formats, eg, image and …

During natural disasters, people often use social media platforms, such as Twitter, to post
information about casualties and damage produced by disasters. This information can help …