I. C. Perez-blanco

A hybrid machine learning Hurdle-based framework for quantitative surface defect sizing in eddy current testing

A hybrid classification-regression framework based on a Hurdle model formulation to quantify defect size is presented, showing that deeper defects are associated with lower regression accuracy, whereas defect diameter and lift-off are not statistically significantly related to framework performance.