A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification

Research article (Journal of Sound and Vibration, 2022) · cited 29× · AI/ML
Press Enter · cited answer in seconds

A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification

Summary

A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification is a scholarly article[1].

Key Facts

  • A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification's instance of is recorded as scholarly article[2].

📑 Cite this page

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). A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-kernel-canonical-correlation-analysis-approach-for-removing-environmental-and-operational-variations-for-structural-da
MLA “A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-kernel-canonical-correlation-analysis-approach-for-removing-environmental-and-operational-variations-for-structural-da.
BibTeX @misc{4ortxyz_a-kernel-canonical-correlation-analysis-approach-for-removing-environmental-and-operational-variations-for-structural-da_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification}}, year = {2026}, url = {https://4ort.xyz/entity/a-kernel-canonical-correlation-analysis-approach-for-removing-environmental-and-operational-variations-for-structural-da}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification — https://4ort.xyz/entity/a-kernel-canonical-correlation-analysis-approach-for-removing-environmental-and-operational-variations-for-structural-da (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-kernel-canonical-correlation-analysis-approach-for-removing-environmental-and-operational-variations-for-structural-da · Last refreshed: