Detection and Classification of Surface Cracks Using Deep Learning Based Autoencoders in Eddy Current Testing

Barrarat Fatima, Helifa Bachir, Bensaid Samir, Rayane Karim, Lefkaier IbnKhaldoun

Open source

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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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

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