Detection and Classification of Surface Cracks Using Deep Learning Based Autoencoders in Eddy Current Testing
- DOI
- 10.1002/tee.24243
- Published
- 2024-12-16
- Container
- IEEJ Transactions on Electrical and Electronic Engineering
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/tee.24243,
title = {Detection and Classification of Surface Cracks Using Deep Learning Based Autoencoders in Eddy Current Testing},
author = {Barrarat Fatima and Helifa Bachir and Bensaid Samir and Rayane Karim and Lefkaier IbnKhaldoun},
year = {2024},
journal = {IEEJ Transactions on Electrical and Electronic Engineering},
doi = {10.1002/tee.24243},
url = {https://doi.org/10.1002/tee.24243}
}RIS
TY - JOUR TI - Detection and Classification of Surface Cracks Using Deep Learning Based Autoencoders in Eddy Current Testing AU - Barrarat Fatima AU - Helifa Bachir AU - Bensaid Samir AU - Rayane Karim AU - Lefkaier IbnKhaldoun PY - 2024 JO - IEEJ Transactions on Electrical and Electronic Engineering DO - 10.1002/tee.24243 UR - https://doi.org/10.1002/tee.24243 ER -
APA
Fatima, B., Bachir, H., Samir, B., Karim, R., & IbnKhaldoun, L. (2024). Detection and Classification of Surface Cracks Using Deep Learning Based Autoencoders in Eddy Current Testing. IEEJ Transactions on Electrical and Electronic Engineering. https://doi.org/10.1002/tee.24243
Source records
- crossref · retrieved 2026-09-24T21:33:37.190Z