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An improved support vector regression model for estimation of saturation pressure of crude oils

Research article (Fluid Phase Equilibria, 2015) · cited 46× · AI/ML
academia openalex:W387951558
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An improved support vector regression model for estimation of saturation pressure of crude oils

Summary

An improved support vector regression model for estimation of saturation pressure of crude oils is a scholarly article[1].

Key Facts

  • An improved support vector regression model for estimation of saturation pressure of crude oils's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An improved support vector regression model for estimation of saturation pressure of crude oils. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-improved-support-vector-regression-model-for-estimation-of-saturation-pressure-of-crude-oils
MLA “An improved support vector regression model for estimation of saturation pressure of crude oils.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-improved-support-vector-regression-model-for-estimation-of-saturation-pressure-of-crude-oils.
BibTeX @misc{4ortxyz_an-improved-support-vector-regression-model-for-estimation-of-saturation-pressure-of-crude-oils_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An improved support vector regression model for estimation of saturation pressure of crude oils}}, year = {2026}, url = {https://4ort.xyz/entity/an-improved-support-vector-regression-model-for-estimation-of-saturation-pressure-of-crude-oils}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An improved support vector regression model for estimation of saturation pressure of crude oils — https://4ort.xyz/entity/an-improved-support-vector-regression-model-for-estimation-of-saturation-pressure-of-crude-oils (retrieved 2026-05-24)

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