| KEYWORD |
Area Engineering
Improving validation of Instadose dosimeters using machine learning algorithms
Thesis in external company 
Thesis abroad
Reference persons RAFFAELLA TESTONI
External reference persons Federica Roberto (SCK-CEN), Filip Vanhvere (SCK-CEN)
Description 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.
Deadline 28/06/2024
PROPONI LA TUA CANDIDATURA