Abstract: This paper addresses the challenge of detecting series arc faults in industrial power systems, where detection devices typically operate with low-sample-rate open-loop current transformers ...
Learning how to detect AI-generated faces is five minutes well spent in today’s increasingly synthetic world. In A Nutshell ...
Join us to explore recent advancements and applications of isothermal amplification techniques, such as LAMP, RCA, and RPA. We will compare these methods with traditional PCR, discuss their benefits ...
Abstract: This paper presents a memory-efficient Convolutional Neural Network (CNN) for multi-label object detection on the COCO dataset, targeting real-time applications. Our model achieves 59.5% mAP ...
The exponential growth of online platforms has made sentiment analysis and fake news detection two of the most critical challenges in the era of Big Data.
A large-scale study tested whether AI personas can detect when humans are lying—and found that while AI can sometimes spot deception, it’s still far from trustworthy.
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 .
Purv's interest in cybersecurity originated from a fascination with digital systems and their vulnerabilities. His technical ...
Do Large Language Models (Really) Need Statistical Foundations? Dr. Linglong Kong is a Professor in the Department of ...
De La Salle University (DLSU), a leading research-intensive institution in the Philippines, collaborated with Verified Market Research® (VMR) to commission the Healthcare Fraud Analytics Market Size ...
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