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IEEE/ICACT20250115 Slide.05        [Big Slide]       [YouTube]	Oral Presentation
	Related work -> Numerous studies have explored the application of machine learning in manufacturing, focusing on various aspects of process optimization. Machine learning-based system detected weld porosity using arc sound data from P-GTAW, validated through k-fold cross-validation Deep learning approach using CNNs automated TIG weld quality assessment across six categories with high accuracy The GMAW study used a Central Composite Design to analyze welding arc and bead geometry images CNN application analyzed 3,000 training images to predict the effectiveness of Friction Stir Welded joints.

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