In the face of the rapidly evolving malware landscape, traditional detection methods encounter a formidable challenge due to critical vulnerabilities arising from biased training datasets skewed ...

This research focuses on malware detection and analysis using deep learning techniques through Fully Connected Neural Network (FCNN) to enhance detection accuracy and reduce false alarm rates. The ...

Currently, the traffic speed prediction model based on deep learning has become a research hotspot in the field of transportation. With the rapid development of deep learning and the improvement of ...