Open AccessBENEFIT OF NEURAL NETWORK FOR THE OPTIMIZATION OF DEFECT DETECTION ON COMPOSITE MATERIAL USING ULTRASONIC NON DESTRUCTIVE TESTING
Author(s) -
Pauline Trouvé-Peloux,
B. Abeloos,
Achraf Fekih,
Camille Trottier,
Jean-Michel Roche
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - ultrasonic sensor , composite number , ultrasonic imaging , artificial neural network , materials science , ultrasonic testing , nondestructive testing , computer science , acoustics , composite material , artificial intelligence , physics , radiology , medicine