| KEYWORD |
Improving validation of Instadose dosimeters using machine learning algorithms
Tesi esterna in azienda 
Tesi all'estero
Riferimenti RAFFAELLA TESTONI
Riferimenti esterni Federica Roberto (SCK-CEN), Filip Vanhvere (SCK-CEN)
Descrizione The goal of the project is to develop a tool in order to help the validation of the dose results, by means of Machine Learning methods, achieve a high level of accuracy in identifying dosimeter results warranting expert attention, thereby minimizing the manual effort required for result validation.
Scadenza validita proposta 28/06/2024
PROPONI LA TUA CANDIDATURA