Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Abstract: The rapid increase in smartphone usage has led to a corresponding rise in malicious Android applications, making it important to develop efficient and sustainable malware detection methods ...

For the first time in history, the convergence of kinetic and information warfare, both powered by AI, is on full display, ...