Epidemic intelligence efforts aim to predict, timely detect and assess (re-)emerging pathogens, guide and evaluate infectious ...

On the other hand, the identification of offensive language has become a challenging ... It also requires exploring new linguistic features and computational techniques on a relatively large dataset ...

Extensive experiments conducted on two standard cloth-changing person re-identification datasets prove the effectiveness of our method. Compared with existing state-of-the-art methods, our approach ...

If you have any dataset that is relevant to the quality of government, please contact us about incorporating it into our compilations. With the 2022 update, we made some changes in our identification ...

Several US Centers for Disease Control and Prevention websites and datasets related to HIV, LGBTQ people, youth health behaviors and more have been removed or replaced, as well as treatment ...

In 2022, more than 941,600 Americans died from cardiovascular disease. Heart disease remains the leading cause of death in the United States, according to a new report. The American Heart ...

IIIT Hyderabad (IIITH) in collaboration with Nizam’s Institute of Medical Sciences (NIMS), Hyderabad has unveiled publicly available datasets comprising digitized histopathological images of brain ...

This project uses a hybrid YOLOv8-based SUNet model for real-time detection of coffee leaf diseases. It accurately classifies diseases like Brown Eye, Leaf Rust, Leaf Miner, and Red Spider Mite, ...

IIIT Hyderabad (IIITH), in collaboration with Nizam’s Institute of Medical Sciences (NIMS), Hyderabad, has released publicly available datasets comprising digitised histopathological images of brain ...

These datasets include high-resolution images of brain cancer and kidney disease (Lupus Nephritis), forming the cornerstone of the India Pathology Dataset (IPD) project. Histopathological images ...