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IEEE/ICACT20250115 Question.1 Questioner: luabt@viettel.com.vn 2025-02-19 오후 7:52:55	IEEE/ICACT20250115 Answer.1 Answer by Auhor arifulislamro@gmail.com 2025-02-19 오후 7:52:55
Which step of the welding process that applied your classification. We saw that it has select thickness step, what is the different between normal number round method with classification that auto select the thickness for next steps?	The classification is applied in the thickness selection step of the welding process. In traditional methods, thickness selection is typically done using a normal number rounding method, where a predefined set of thickness values is available, and the closest standard value is selected based on manual input or simple rounding rules. However, in a classification-based approach, machine learning or AI-driven models analyze various factors such as material type, welding parameters, and previous data to automatically determine the optimal thickness for the next steps. This automated selection ensures more precise and efficient decision-making, reducing errors and improving welding quality by adapting to specific conditions rather than relying on fixed rounding rules.

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