The more urgent issue is what our detection systems still cannot see — and side-channel attacks are making that gap visible.
In this study, we examined the possibility of detecting different types of materials that contaminate carcasses during industrial pig slaughter using video image analysis and artificial intelligence ...
A comprehensive Edge AI and IoT anomaly detection system designed for research and educational purposes. This project demonstrates real-time anomaly detection using autoencoder-based models optimized ...
ABSTRACT: Real-time detection of anomalies in data streams is a foundation of modern applied analysis in complex systems. It enables experts to design rapid, efficient, reliable, and high-performance ...
Abstract: Performing unsupervised anomaly detection in retinal optical coherence tomography (OCT) images involves training a model solely on anomaly-free samples and detecting anomalies during ...
Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.
As document capture increasingly shifts beyond traditional office environments, preserving both visual fidelity and document authenticity has become a mounting challenge. Variable lighting, glare, ...
This project implements an unsupervised anomaly detection system for time series data. The model is trained on normal sequences and learns to reconstruct them. Anomalies are detected by measuring the ...
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