In the present era, social media platforms have increasingly become invaluable sources of
information and connectivity. Twitter (X) is one of the social media landscape's most …

In the early stages of a disaster caused by a natural hazard (eg, flood), the amount of
available and useful information is low. To fill this informational gap, emergency responders …

In times of crisis, the prompt and precise classification of disaster-related information shared
on social media platforms is of paramount importance for effective disaster response and …

Disaster tweet classification has gained significant attention in natural language processing
(NLP) due to its potential to aid disaster response and emergency management. The goal of …

Skin cancer images have hair occlusion problems, which greatly affects the accuracy of
diagnosis and classification. Current dermoscopic hair removal methods use segmentation …

Deep learning has been applied successfully in sequence understanding and translation
problems, especially in univariate, unimodal contexts, where large number of supervision …

Multimodal emotion recognition has immense potential for the comprehensive assessment
of human emotions, utilizing multiple modalities that often exhibit complementary …

During disasters, timely and accurate information is paramount for effective decision-making
and resource allocation. Social media (SM) platforms, particularly X platform (formerly …

Twitter is a popular social media platform where people share their opinions. The impact of
these opinions plays a critical role when a sudden unexpected situation or any natural …

Today, the acquisition of various behavioral log data has enabled deeper understanding of
customer preferences and future behaviors in the marketing field. In particular, multimodal …