Virual Oral Presentation Slide by Slide

IEEE/ICACT20250115 Slide.06        [Big Slide]       [YouTube]	Oral Presentation
	Methodology-> In this study, we have implemented SVM, MLP, and Decision Tree models for welding data classification. Dataset 15,000 welding observations from the Hanthec organization, Korea Key parameters: 2.5m section, 1.6mm rod, speed (200-500 mm/min), current (200-380 amperes), voltage (29-48 volts) Clear operational clusters in welding speeds: 200-250, 330-350, and 450-500 mm/min Dataset enables optimization of operations and predictive quality control Dataset Preprocessing Comprehensive cleaning: standardizing column names, removing extra spaces Scaling options: StandardScaler, RobustScaler, and MinMaxScaler considered Feature adjustments using Power Transformer and boxcox1p Feature selection through mutual information classification

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!