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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Bibliographic Details

Main Authors:	Abdullah, Rohana, Pang, Chang Tze, Hafizh, Hadyan, Abdul Rasib, Amir Hamzah, Mansour, Mohamed
Format:	Article
Language:	en
Published:	Penerbit Akademia Baru 2025
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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