Home ›
Entities
› academia
› Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis
Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis
Research article (Fatigue & Fracture of Engineering Materials & Structures, 2023) · cited 10× · AI/ML
Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis
Summary
Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis is a scholarly article[1].
Key Facts
Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network 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). Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-selection-of-surface-topography-parameters-for-fatiguedamage-detection-using-pearson-correlation-method-and-neur
MLA“Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-selection-of-surface-topography-parameters-for-fatiguedamage-detection-using-pearson-correlation-method-and-neur.
BibTeX@misc{4ortxyz_feature-selection-of-surface-topography-parameters-for-fatiguedamage-detection-using-pearson-correlation-method-and-neur_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis}}, year = {2026}, url = {https://4ort.xyz/entity/feature-selection-of-surface-topography-parameters-for-fatiguedamage-detection-using-pearson-correlation-method-and-neur}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis — https://4ort.xyz/entity/feature-selection-of-surface-topography-parameters-for-fatiguedamage-detection-using-pearson-correlation-method-and-neur (retrieved 2026-05-24)