Modern cloud attacks often exploit small, interconnected gaps across dynamic cloud environments. By adding continuous anomaly detection and real-time threat detection and response (D&R) across active ...
Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
Discover the leading code analysis tools for DevOps teams in 2025. Enhance your software development process with automated security and quality checks to mitigate risks and improve code health.
Abstract: Industrial Internet of Things (IIoT) faces significant security challenges such as data privacy and vulnerabilities. Unsupervised anomaly detection aims to identify abnormal patterns by ...
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