Stress Concentration Tomography with Machine Learning for Defect Severity Classification
Stress Concentration Tomography with Machine Learning for Defect Severity Classification
Defect severity classification holds significant importance within industries that prioritize quality control. This study proposes a novel approach that applies machine learning with Stress Concentration Tomography (SCT) to effectively categorize defects’ severity. Through the utilization of machine learning algorithms, the objective is to enhance...