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A multiple-architecture deep learning approach for nuclear power plants accidents classification including anomaly detection and “don’t know” response

Marcelo C. Santos, Cláudio M.N.A. Pereira, Roberto Schirru

2021Annals of Nuclear Energy33 citationsDOI

Topics & Concepts

Computer scienceModular designAnomaly detectionEvent (particle physics)Nuclear powerNuclear power plantAnomaly (physics)Identification (biology)Accident (philosophy)Artificial intelligenceVolume (thermodynamics)Reliability engineeringData miningEngineeringOperating systemBotanyEpistemologyQuantum mechanicsNuclear physicsCondensed matter physicsPhilosophyBiologyEcologyPhysicsAnomaly Detection Techniques and ApplicationsNuclear Engineering Thermal-HydraulicsNetwork Security and Intrusion Detection
A multiple-architecture deep learning approach for nuclear power plants accidents classification including anomaly detection and “don’t know” response | Litcius