A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...

Human action recognition in still images is a fundamental computer vision task with applications in surveillance, human-computer interaction, content-based image retrieval, and assistive technologies.

Abstract: Urbanization is increasing the presence of various utilities in the ground, while at the same time underground cavities and sinkholes pose a major threat to the civilization and structural ...

Abstract: Lung disease is characterized as a severe global health disorder, especially in low-resource areas where medical subspecialty care is not accessible. Chest X-ray imaging remains a primary ...

SANTA CLARA, Calif. — The book on Iowa offensive linemen: They’re going to be better run blockers than pass protectors when they first arrive in the NFL. That’s what the San Francisco 49ers were ...

Nearly 50 new cancer therapies are approved every year. While this positive trend is a huge benefit for patients, Altuna Akalin, PhD, head of the bioinformatics and omics data science technology ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.

Accurate and timely detection of diabetic retinopathy (DR) is crucial for managing its progression and improving patient outcomes. However, developing algorithms to analyze complex fundus images ...