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Evaluation of machine learning algorithms for robustness in the classification of flat surfaced materials for varied roughness during machining

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Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Ahead of Print.
This work evaluates the performance of various machine learning (ML) algorithms, including support vector machines (SVM), logistic regression, and decision trees, in classifying materials based on variations in surface roughness. The robustness of these ...