Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks

Research article (Journal of Loss Prevention in the Process Industries, 2018) · cited 40× · AI/ML
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Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks

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Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/risk-analysis-of-subsea-blowout-preventer-by-mapping-go-models-into-bayesian-networks
MLA “Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/risk-analysis-of-subsea-blowout-preventer-by-mapping-go-models-into-bayesian-networks.
BibTeX @misc{4ortxyz_risk-analysis-of-subsea-blowout-preventer-by-mapping-go-models-into-bayesian-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks}}, year = {2026}, url = {https://4ort.xyz/entity/risk-analysis-of-subsea-blowout-preventer-by-mapping-go-models-into-bayesian-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks — https://4ort.xyz/entity/risk-analysis-of-subsea-blowout-preventer-by-mapping-go-models-into-bayesian-networks (retrieved 2026-05-24)

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