Nature

System log anomaly detection based on contrastive learning and retrieval augmented

System logs are run-time significant events of computer systems recorded by software. By analyzing the system logs, a lot of important information and issues can be detected promptly. Log anomaly ...

New Study on Synthetic Data-Driven Sub-surface Anomaly Detection by VE3 AI Research

VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...
Nature

Generative adversarial synthetic neighbors-based unsupervised anomaly detection

Anomaly detection is crucial for the stable operation of mechanical systems, securing financial transactions, and ensuring network security, among other critical areas. Presently, Generative ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...