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 ...

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

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical decision-making through image retrieval.

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