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Statistical approaches for semi-supervised anomaly detection in machining

Research article (Production Engineering, 2020) · cited 20× · AI/ML
academia openalex:W3011137170
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Statistical approaches for semi-supervised anomaly detection in machining

Summary

Statistical approaches for semi-supervised anomaly detection in machining is a scholarly article[1].

Key Facts

  • Statistical approaches for semi-supervised anomaly detection in machining's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Statistical approaches for semi-supervised anomaly detection in machining. Retrieved May 24, 2026, from https://4ort.xyz/entity/statistical-approaches-for-semi-supervised-anomaly-detection-in-machining
MLA “Statistical approaches for semi-supervised anomaly detection in machining.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/statistical-approaches-for-semi-supervised-anomaly-detection-in-machining.
BibTeX @misc{4ortxyz_statistical-approaches-for-semi-supervised-anomaly-detection-in-machining_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Statistical approaches for semi-supervised anomaly detection in machining}}, year = {2026}, url = {https://4ort.xyz/entity/statistical-approaches-for-semi-supervised-anomaly-detection-in-machining}, note = {Accessed: 2026-05-24}}
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