Presentation Open Access

Anomaly detection in nuclear reactors using deep learning

Francesco Caliva


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  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>Monitoring nuclear reactors working at nominal conditions is fundamental for safety purposes.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Francesco Caliva"
    }
  ], 
  "url": "https://zenodo.org/record/4314941", 
  "datePublished": "2020-12-08", 
  "@type": "PresentationDigitalDocument", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4314941", 
  "@id": "https://doi.org/10.5281/zenodo.4314941", 
  "workFeatured": {
    "location": "Remote meeting", 
    "@type": "Event", 
    "name": "IAEA Consultancy Meeting on Machine Learning for Nuclear Data"
  }, 
  "name": "Anomaly detection in nuclear reactors using deep learning"
}
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