Work

Investigation of a deep learning methodology for automatic detection and characterization of crack-type defects in ultrasonic non-destructive testing

Year: 2025

Type: conference-paper

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Sheehan, Patrick, Miorelli, Roberto, Robert, Sébastien, Chatillon, Sylvain, Chapuis, Bastien

Institutions: Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Laboratoire d'Intégration des Systèmes et des Technologies

Language: English

Topic: Ultrasonics and Acoustic Wave Propagation

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7106477582

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