A review of recent deep learning applications in wood surface defect identification
Wood is widely used in construction, art, and home applications due to its aesthetic appeal and favorable mechanical properties. However, environmental factors significantly affect the growth and preservation of wood, often leading to defects that can reduce its performance and ornamental value. Re...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Institute of Advanced Engineering and Science
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29233/2/0167807072025135848.pdf http://eprints.utem.edu.my/id/eprint/29233/ https://ijai.iaescore.com/index.php/IJAI/article/view/25617 http://doi.org/10.11591/ijai.v14.i3.pp1696-1707 |
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