Part detection model for aerospace manufacturing quality control using convolutional neural networks
Ensuring the precision and efficiency of quality control processes in the aerospace,manufacturing industry is critical to remain competitive. This paper presents an advanced approach to address the challenge of identifying and categorising similar aerospace components quality effectively using Artif...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Penerbit Akademia Baru
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29191/2/0114908082025121016.pdf http://eprints.utem.edu.my/id/eprint/29191/ https://akademiabaru.com/submit/index.php/ard/article/view/6393/6149 https://doi.org/10.37934/ard.133.1.110 |
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