The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
A research team from the School of Engineering at The Hong Kong University of Science and Technology (HKUST) has achieved a breakthrough in brain imaging by developing the world's first technology to ...
A new study published in Science Advances presents a method that converts human brain activity into coherent, descriptive ...
Abstract: Malware poses a growing cybersecurity threat, rendering traditional signature-based detection methods insufficient against evolving attack strategies. Many existing machine learning (ML) ...
Abstract: Human-object interaction (HOI) detection plays a key role in high-level visual understanding, facilitating a deep comprehension of human activities. Specifically, HOI detection aims to ...
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 ...
Cybersecurity professionals recognize that enterprise networks are prime targets for dark web risks such as ransomware, unauthorized insider activity, and data exfiltration. What’s less obvious is ...
IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...
Image Forgery Detection is a web-based application designed to detect and analyze potential image manipulations and forgeries. Developed in Python using the Django framework, it provides an easy and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback