Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Abstract: This paper presents an enhanced tracking method built upon the ByteTrack architecture for efficient and robust multi-person tracking in challenging environments. The proposed system enhances ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Abstract: This paper proposes a novel method to enhance the classification performance of collaborative spectrum sensing. The method involves the Convolutional Neural Network (CNN) parameter ...