Although these modified neural network models showed enhanced prediction accuracy than BPNN, they still face significant challenges, particularly their reliance on large training datasets. A summary of data-driven predictions of process characteristics and quality/defects in CFRP machining is presented in Table . Existing studies suggest that the size of training datasets is typically less than 100, reflecting significant data scarcity.