Barely Significant
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Anomaly Detection in Nuclear Power Production Based on Neural Normal Stochastic Process.

Sensors (Basel) · 2025 · PMC12299818 · PMID 40732486

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practically significantno p-value reported
Proposed Methods In this work, we consider missing data as a representative and practically significant type of input error, which frequently occurs in nuclear power monitoring systems due to sensor degradation or communication faults.

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