Impact of measurement uncertainty on the performance of machine learning models for the safeguards verification of spent fuel assemblies
Riferimenti RAFFAELLA TESTONI
Riferimenti esterni Dr. Riccardo Rossa (SCK-CEN), Dr. Alessandro Borella (SCK-CEN)
Descrizione Previous work focused on the development of machine learning models for the detection and localization of replaced pins. Current models treat the measurement results only and do not take into account the statistical measurement uncertainty in their analysis.
Scadenza validita proposta 25/01/2024
PROPONI LA TUA CANDIDATURA