Machine-learning-based damage identification methods with features derived from moving principal component analysis
Summary
Machine-learning-based damage identification methods with features derived from moving principal component analysis is a scholarly article[1].
Key Facts
Machine-learning-based damage identification methods with features derived from moving principal component analysis's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Machine-learning-based damage identification methods with features derived from moving principal component analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-damage-identification-methods-with-features-derived-from-moving-principal-component-analysis
MLA“Machine-learning-based damage identification methods with features derived from moving principal component analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-damage-identification-methods-with-features-derived-from-moving-principal-component-analysis.
BibTeX@misc{4ortxyz_machine-learning-based-damage-identification-methods-with-features-derived-from-moving-principal-component-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine-learning-based damage identification methods with features derived from moving principal component analysis}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-damage-identification-methods-with-features-derived-from-moving-principal-component-analysis}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine-learning-based damage identification methods with features derived from moving principal component analysis — https://4ort.xyz/entity/machine-learning-based-damage-identification-methods-with-features-derived-from-moving-principal-component-analysis (retrieved 2026-05-24)
