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

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-09-21
Primary Topic
Ultrasonics and Acoustic Wave Propagation
Type
article
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article

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

SPIRE - Sciences Po Institutional REpository
Ultrasonics and Acoustic Wave Propagation
article

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

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Openalex Percentile: Top 47%
Ultrasonics and Acoustic Wave Propagation
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Investigation of a deep learning methodology for automatic detection and characterization of crack-type defects in ultrasonic non-destructive testing · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS