AI can improve anomaly detection in power systems by combining model precision with human expertise. But Yaniv Harel of the ...

Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...

Introduction In the rapidly evolving cyber-threat landscape, traditional signature-based defences are no longer sufficient. Threat actors increasingly use stealth, lateral movement, encrypted channels ...

Abstract: Microservice architecture offers great scalability and flexibility to the development of online servicessystems. Performance anomalies, which happen frequently due to code bugs or runtime ...

Abstract: Conventional reconstruction-based video anomaly detection (VAD) methods implicitly model normality in latent spaces, which is limited by the generalization ability of latent features.

Analogic Corporation and Analytical AI have announced they have entered into a strategic agreement to co-develop AI-based enhanced detection capabilities for Analogic’s aviation security products. The ...