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An optimal sensor placement design framework for structural health monitoring using Bayes risk

Research article (Mechanical Systems and Signal Processing, 2021) · cited 39× · AI/ML
academia openalex:W3216170221
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An optimal sensor placement design framework for structural health monitoring using Bayes risk

Summary

An optimal sensor placement design framework for structural health monitoring using Bayes risk is a scholarly article[1].

Key Facts

  • An optimal sensor placement design framework for structural health monitoring using Bayes risk's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An optimal sensor placement design framework for structural health monitoring using Bayes risk. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimal-sensor-placement-design-framework-for-structural-health-monitoring-using-bayes-risk
MLA “An optimal sensor placement design framework for structural health monitoring using Bayes risk.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimal-sensor-placement-design-framework-for-structural-health-monitoring-using-bayes-risk.
BibTeX @misc{4ortxyz_an-optimal-sensor-placement-design-framework-for-structural-health-monitoring-using-bayes-risk_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimal sensor placement design framework for structural health monitoring using Bayes risk}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimal-sensor-placement-design-framework-for-structural-health-monitoring-using-bayes-risk}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An optimal sensor placement design framework for structural health monitoring using Bayes risk — https://4ort.xyz/entity/an-optimal-sensor-placement-design-framework-for-structural-health-monitoring-using-bayes-risk (retrieved 2026-05-24)

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