Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Automatic modulation classification (AMC) is an essential technology in modern communications, enabling the identification of various signal modulation schemes without prior knowledge, thereby ...

Audio signal processing has experienced rapid evolution in recent years, driven largely by developments in deep learning. Modern approaches now harness neural network architectures to extract ...

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...

Traffic classification is a crucial task for network security. One of the most difficult challenges is to accurately identify the traffic of unknown applications as well as discriminate the known ...

Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for ...

Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle ...

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...