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Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis
Research article (Reliability Engineering & System Safety, 2024) · cited 37× · AI/ML
Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis
Summary
Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis is a scholarly article[1].
Key Facts
Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/trustworthy-bayesian-deep-learning-framework-for-uncertainty-quantification-and-confidence-calibration-application-in-ma
MLA“Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/trustworthy-bayesian-deep-learning-framework-for-uncertainty-quantification-and-confidence-calibration-application-in-ma.
BibTeX@misc{4ortxyz_trustworthy-bayesian-deep-learning-framework-for-uncertainty-quantification-and-confidence-calibration-application-in-ma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/trustworthy-bayesian-deep-learning-framework-for-uncertainty-quantification-and-confidence-calibration-application-in-ma}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis — https://4ort.xyz/entity/trustworthy-bayesian-deep-learning-framework-for-uncertainty-quantification-and-confidence-calibration-application-in-ma (retrieved 2026-05-24)
