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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
Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals
Summary
Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals is a scholarly article[1].
Key Facts
Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-abnormal-cfrp-holes-using-both-unsupervised-and-supervised-learning-techniques-on-in-process-force-current-a
MLA“Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-abnormal-cfrp-holes-using-both-unsupervised-and-supervised-learning-techniques-on-in-process-force-current-a.
BibTeX@misc{4ortxyz_identifying-abnormal-cfrp-holes-using-both-unsupervised-and-supervised-learning-techniques-on-in-process-force-current-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-abnormal-cfrp-holes-using-both-unsupervised-and-supervised-learning-techniques-on-in-process-force-current-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals — https://4ort.xyz/entity/identifying-abnormal-cfrp-holes-using-both-unsupervised-and-supervised-learning-techniques-on-in-process-force-current-a (retrieved 2026-05-24)
