# Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals

> Research article (International Journal of Precision Engineering and Manufacturing, 2022) · cited 16× · AI/ML

**Wikidata**: [openalex:W4225309754](https://www.wikidata.org/wiki/openalex:W4225309754)  
**Source**: https://4ort.xyz/entity/identifying-abnormal-cfrp-holes-using-both-unsupervised-and-supervised-learning-techniques-on-in-process-force-current-a