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

Rapid damage identification and classification in disastrous situations and natural disasters
are crucial for efficiently directing aid and resources. With the development of deep learning …

Lung cancer starts and spreads in the tissues of the lungs, more specifically, in the tissue
that forms air passages. This cancer is reported as the leading cause of cancer deaths …

During disasters and emergencies, microblogging platforms like Twitter are crucial sources
of real-time information. With so much verbal content present during such situations, it is …

Liver diseases represent a significant challenge to global healthcare systems, necessitating
accurate and timely diagnosis for effective intervention. However, the intricate nature of liver …

Social sensing, using humans as sensors to collect disaster data, has emerged as a timely,
cost-effective, and reliable data source. However, research has focused on the textual data …

Labeled data scarcity at the time of an ongoing disaster has encouraged the researchers to
use the labeled data from some previous disaster for training and transferring the knowledge …

Citizens utilize Twitter to communicate and post useful information amid disasters. The
timely analysis of the first-hand information can be valuable for enhancing disaster …

Facial expressions can be used to interpret human feelings. They can be successfully used
to assess the mood of a person. Accurate prediction of moods can prove to be of immense …

The COVID-19 pandemic has sparked widespread health-related discussions on social
media platforms like Twitter (now named 'X'). However, the lack of labeled Twitter data poses …