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.
Oklahoma’s database of campaign spending and lobbyists is off-line, and the public is paying for itIt’s been nearly three months since the Oklahoma Ethics Commission took down its database that tracks ...
More than 10,000 Docker Hub container images expose data that should be protected, including live credentials to production systems, CI/CD databases, or LLM model keys. The secrets impact a little ...
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