KEYWORD |
Impact of measurement uncertainty on the performance of machine learning models for the safeguards verification of spent fuel assemblies
Reference persons RAFFAELLA TESTONI
External reference persons Dr. Riccardo Rossa (SCK-CEN), Dr. Alessandro Borella (SCK-CEN)
Description 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.
Deadline 25/01/2024
PROPONI LA TUA CANDIDATURA