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FATIGUE FEATURE EXTRACTION ANALYSIS BASED ON A K-MEANS CLUSTERING APPROACH

Research article (JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES, 2015) · cited 13× · AI/ML
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FATIGUE FEATURE EXTRACTION ANALYSIS BASED ON A K-MEANS CLUSTERING APPROACH

Summary

FATIGUE FEATURE EXTRACTION ANALYSIS BASED ON A K-MEANS CLUSTERING APPROACH is a scholarly article[1].

Key Facts

  • FATIGUE FEATURE EXTRACTION ANALYSIS BASED ON A K-MEANS CLUSTERING APPROACH's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). FATIGUE FEATURE EXTRACTION ANALYSIS BASED ON A K-MEANS CLUSTERING APPROACH. Retrieved May 24, 2026, from https://4ort.xyz/entity/fatigue-feature-extraction-analysis-based-on-a-k-means-clustering-approach
MLA “FATIGUE FEATURE EXTRACTION ANALYSIS BASED ON A K-MEANS CLUSTERING APPROACH.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fatigue-feature-extraction-analysis-based-on-a-k-means-clustering-approach.
BibTeX @misc{4ortxyz_fatigue-feature-extraction-analysis-based-on-a-k-means-clustering-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FATIGUE FEATURE EXTRACTION ANALYSIS BASED ON A K-MEANS CLUSTERING APPROACH}}, year = {2026}, url = {https://4ort.xyz/entity/fatigue-feature-extraction-analysis-based-on-a-k-means-clustering-approach}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FATIGUE FEATURE EXTRACTION ANALYSIS BASED ON A K-MEANS CLUSTERING APPROACH — https://4ort.xyz/entity/fatigue-feature-extraction-analysis-based-on-a-k-means-clustering-approach (retrieved 2026-05-24)

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