Weld-CNN: Advancing non-destructive testing with a hybrid deep learning model for weld defect detection
Welding is a critical process in industries such as construction, manufacturing, and automotive, where weld quality directly impacts structural integrity and safety. Traditional manual inspection of weld defects via radiographic testing is time-consuming, subjective, and prone to error, underscoring...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-05-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132251341615 |
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