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Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics
Research article (Journal of Marine Engineering & Technology, 2017) · cited 44× · AI/ML
Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics
Summary
Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics is a scholarly article[1].
Key Facts
Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-computational-fluid-dynamic-and-artificial-neural-networks-to-predict-the-performance-and-cavitation-volume-of-a-p
MLA“Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-computational-fluid-dynamic-and-artificial-neural-networks-to-predict-the-performance-and-cavitation-volume-of-a-p.
BibTeX@misc{4ortxyz_using-computational-fluid-dynamic-and-artificial-neural-networks-to-predict-the-performance-and-cavitation-volume-of-a-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics}}, year = {2026}, url = {https://4ort.xyz/entity/using-computational-fluid-dynamic-and-artificial-neural-networks-to-predict-the-performance-and-cavitation-volume-of-a-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using computational fluid dynamic and artificial neural networks to predict the performance and cavitation volume of a propeller under different geometrical and physical characteristics — https://4ort.xyz/entity/using-computational-fluid-dynamic-and-artificial-neural-networks-to-predict-the-performance-and-cavitation-volume-of-a-p (retrieved 2026-05-24)
