Advanced sensor technologies and data analytics can proactively identify grid hazards, enhancing safety and operational ...

In order to meet this challenge, organizations must redefine DevSecOps not simply as "shift-left security" but as trust-layer ...

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...

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 ...

The Internet of Things represents a shift in the architecture of our digital world, embedding computational intelligence into ...

Citing the desire to ensure schools are as safe as possible, Pinellas County school district officials introduced plans Oct. 21 to consider using artificial intelligence-enabled weapon detection ...

Abstract: The increasing application of the Internet of Things (IoT) has raised significant security concerns, particularly at the Edge of Things (EoT). Traditional Intrusion Detection Systems (IDS) ...

Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...

We developed a classifier to infer acute ischemic stroke severity from Medicare claims using the modified Rankin Scale at discharge. The classifier can be used to improve stroke outcomes research and ...

Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, P. R. China ...