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A Nested Autoencoder Approach to Automated Defect Inspection on Textured Surfaces Cover

A Nested Autoencoder Approach to Automated Defect Inspection on Textured Surfaces

International Journal of Applied Mathematics and Computer Science
Volume 31 (2021): Issue 3 (September 2021)
By: Muhammed Ali Nur Oz,  Ozgur Turay Kaymakci and  Muharrem Mercimek  
Open Access
|Sep 2021

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DOI: https://doi.org/10.34768/amcs-2021-0035 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 515 - 523
Submitted on: Mar 6, 2021
|
Accepted on: Jun 10, 2021
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Published on: Sep 27, 2021
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
autoencoders,
defect detection,
automatic visual inspection,
deep learning
Related subjects:
Mathematics,
Applied mathematics

© 2021 Muhammed Ali Nur Oz, Ozgur Turay Kaymakci, Muharrem Mercimek, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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