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Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis
Research article (Measurement Science and Technology, 2020) · cited 47× · AI/ML
Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis
Summary
Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis is a scholarly article[1].
Key Facts
Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/pattern-recognition-of-a-sensitive-feature-set-based-on-the-orthogonal-neighborhood-preserving-embedding-and-adaboost-sv
MLA“Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pattern-recognition-of-a-sensitive-feature-set-based-on-the-orthogonal-neighborhood-preserving-embedding-and-adaboost-sv.
BibTeX@misc{4ortxyz_pattern-recognition-of-a-sensitive-feature-set-based-on-the-orthogonal-neighborhood-preserving-embedding-and-adaboost-sv_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/pattern-recognition-of-a-sensitive-feature-set-based-on-the-orthogonal-neighborhood-preserving-embedding-and-adaboost-sv}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis — https://4ort.xyz/entity/pattern-recognition-of-a-sensitive-feature-set-based-on-the-orthogonal-neighborhood-preserving-embedding-and-adaboost-sv (retrieved 2026-05-24)
