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2. Enhanced Video-Level Anomaly Feature Detection for Nuclear Power Plant Component Inspections Using the Latency Mechanism.

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7. The use of Hidden Markov models for anomaly detection in nuclear core condition monitoring

8. Machine Learning Model for Event-Based Prognostics in Gas Circulator Condition Monitoring.

9. Self-Tuning Routine Alarm Analysis of Vibration Signals in Steam Turbine Generators.

10. Data Mining Reactor Fuel Grab Load Trace Data to Support Nuclear Core Condition Monitoring.

11. Real-World Video Denoising for Visual Inspection in High-Dose Radiological Environments.