Anomaly detection within in situ observation data is essential for ensuring data quality and application reliability, especially under irregular sampling and multivariate conditions. However, most ...
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 .
The Tampa Bay Rays made a few moves ahead of the MLB trade deadline this past summer. However, there was one that stood out because the team looked like sellers, but this move would certainly fall ...
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.
A global team led by Michal Holčapek, professor of analytical chemistry at the Faculty of Chemical Technology, UPCE, Pardubice (Czech Republic), and Jakub Idkowiak, a research associate from KU Leuven ...
Chiefs out-gained Jacksonville but lost a one-score contest after late execution failures. Offense produced 476 yards, balanced run and pass, signaling potential long-term revival. Defensive drops and ...
NVIDIA introduces NV-Tesseract-AD, a sophisticated model enhancing anomaly detection through diffusion modeling, curriculum learning, and adaptive thresholds, aiming to tackle complex industrial ...
Please provide your email address to receive an email when new articles are posted on . The most pressing Alzheimer’s issue for clinicians is early detection. Lifestyle changes are recommended for ...
The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular activity, signals can be lost or blurred, and differences between ...
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