Classification and prediction analysis for weld bead surface quality using feature extraction and mahalanobis-taguchi system

This research develops an innovative algorithmic scoring system designed for the accurate assessment of welding bead samples in UNITEN’s welding laboratory. Leveraging image feature extraction in combination with the Mahalanobis-Taguchi System (MTS) implemented in MATLAB software, the study construc...

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Main Authors:	Nolia, Harudin, Muhammad Ikmal Hafiz, Mohd Yusof, Zulkifli, Marlah@Marlan, Faizir, Ramlie, Wan Zuki Azman, Wan Muhamad, Mohd Yazid, Abu, Zamzuraida, Baharum
Format:	Article
Language:	en
Published:	Pushpa Publishing House 2025
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TS Manufactures
Online Access:	https://umpir.ump.edu.my/id/eprint/46401/1/publication6.pdf https://doi.org/10.17654/0972087125027 https://umpir.ump.edu.my/id/eprint/46401/
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