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Parametric study of organic Rankine working fluids via Bayesian optimization of a preference learning ranking for a waste heat recovery system applied to a case study marine engine
Research article (Ocean Engineering, 2024) · cited 16× · AI/ML
Parametric study of organic Rankine working fluids via Bayesian optimization of a preference learning ranking for a waste heat recovery system applied to a case study marine engine
Summary
Parametric study of organic Rankine working fluids via Bayesian optimization of a preference learning ranking for a waste heat recovery system applied to a case study marine engine is a scholarly article[1].
Key Facts
Parametric study of organic Rankine working fluids via Bayesian optimization of a preference learning ranking for a waste heat recovery system applied to a case study marine engine's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Parametric study of organic Rankine working fluids via Bayesian optimization of a preference learning ranking for a waste heat recovery system applied to a case study marine engine. Retrieved May 24, 2026, from https://4ort.xyz/entity/parametric-study-of-organic-rankine-working-fluids-via-bayesian-optimization-of-a-preference-learning-ranking-for-a-wast
MLA“Parametric study of organic Rankine working fluids via Bayesian optimization of a preference learning ranking for a waste heat recovery system applied to a case study marine engine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/parametric-study-of-organic-rankine-working-fluids-via-bayesian-optimization-of-a-preference-learning-ranking-for-a-wast.
BibTeX@misc{4ortxyz_parametric-study-of-organic-rankine-working-fluids-via-bayesian-optimization-of-a-preference-learning-ranking-for-a-wast_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Parametric study of organic Rankine working fluids via Bayesian optimization of a preference learning ranking for a waste heat recovery system applied to a case study marine engine}}, year = {2026}, url = {https://4ort.xyz/entity/parametric-study-of-organic-rankine-working-fluids-via-bayesian-optimization-of-a-preference-learning-ranking-for-a-wast}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Parametric study of organic Rankine working fluids via Bayesian optimization of a preference learning ranking for a waste heat recovery system applied to a case study marine engine — https://4ort.xyz/entity/parametric-study-of-organic-rankine-working-fluids-via-bayesian-optimization-of-a-preference-learning-ranking-for-a-wast (retrieved 2026-05-24)
