Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment
Summary
Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment is a scholarly article[1].
Key Facts
Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment's instance of is recorded as scholarly article[2].
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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). Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment. Retrieved May 24, 2026, from https://4ort.xyz/entity/structural-sensing-with-deep-learning-strain-estimation-from-acceleration-data-for-fatigue-assessment
MLA“Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/structural-sensing-with-deep-learning-strain-estimation-from-acceleration-data-for-fatigue-assessment.
BibTeX@misc{4ortxyz_structural-sensing-with-deep-learning-strain-estimation-from-acceleration-data-for-fatigue-assessment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment}}, year = {2026}, url = {https://4ort.xyz/entity/structural-sensing-with-deep-learning-strain-estimation-from-acceleration-data-for-fatigue-assessment}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment — https://4ort.xyz/entity/structural-sensing-with-deep-learning-strain-estimation-from-acceleration-data-for-fatigue-assessment (retrieved 2026-05-24)
