[1]
“A Survey of Semi-supervised and Unsupervised Learning Methods for Industrial Defect Anomaly Detection”, JCSFT, vol. 1, no. 1, pp. 1–15, Jul. 2025, doi: 10.63313/JCSFT.9001.