Flash drought: Review of concept, prediction and the potential for machine learning, deep learning methods
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 …
prediction, and the potential of Machine Learning (ML) and Deep learning (DL) for future …
Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review
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 …
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …
Backdooring multimodal learning
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 …
set to alter the model prediction over samples with a specific trigger. While existing efforts …
Humaid: Human-annotated disaster incidents data from twitter with deep learning benchmarks
Social networks are widely used for information consumption and dissemination, especially
during time-critical events such as natural disasters. Despite its significantly large volume …
during time-critical events such as natural disasters. Despite its significantly large volume …
Deep learning benchmarks and datasets for social media image classification for disaster response
During a disaster event, images shared on social media helps crisis managers gain
situational awareness and assess incurred damages, among other response tasks. Recent …
situational awareness and assess incurred damages, among other response tasks. Recent …
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model
R Koshy, S Elango - Neural Computing and Applications, 2023 - Springer
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 …
a crisis. With the developments in information and communication technologies, social …
Effective disaster management through transformer-based multimodal tweet classification
The role of social media in crisis response and recovery is becoming increasingly prominent
due to the rapid progression of information and communication technologies. This study …
due to the rapid progression of information and communication technologies. This study …
MEDIC: a multi-task learning dataset for disaster image classification
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 …
artificial intelligence to save human lives and suffering during natural disasters based on …
Multimedia analysis of robustly optimized multimodal transformer based on vision and language co-learning
Recently, research on multimodal learning using all modality information has been
conducted to detect disinformation on multimedia. Existing multimodal learning methods …
conducted to detect disinformation on multimedia. Existing multimodal learning methods …
Disaster image classification by fusing multimodal social media data
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 …
When a disaster occurs, many users post messages in a variety of formats, eg, image and …