Home ›
Entities
› academia
› Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries
Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries
Research article (Computer Methods in Applied Mechanics and Engineering, 2016) · cited 24× · AI/ML
Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries
Summary
Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries is a scholarly article[1].
Key Facts
Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries's instance of is recorded as scholarly article[2].
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). Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-identification-of-the-tendon-fascicles-structural-composition-using-finite-element-models-for-helical-geometrie
MLA“Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-identification-of-the-tendon-fascicles-structural-composition-using-finite-element-models-for-helical-geometrie.
BibTeX@misc{4ortxyz_bayesian-identification-of-the-tendon-fascicles-structural-composition-using-finite-element-models-for-helical-geometrie_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-identification-of-the-tendon-fascicles-structural-composition-using-finite-element-models-for-helical-geometrie}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian identification of the tendon fascicle’s structural composition using finite element models for helical geometries — https://4ort.xyz/entity/bayesian-identification-of-the-tendon-fascicles-structural-composition-using-finite-element-models-for-helical-geometrie (retrieved 2026-05-24)
