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Improving the estimation accuracy of titration-based asphaltene precipitation through power-law committee machine (PLCM) model with alternating conditional expectation (ACE) and support vector regression (SVR) elements

Research article (Journal of Petroleum Exploration and Production Technology, 2015) · cited 13× · AI/ML
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Improving the estimation accuracy of titration-based asphaltene precipitation through power-law committee machine (PLCM) model with alternating conditional expectation (ACE) and support vector regression (SVR) elements

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Improving the estimation accuracy of titration-based asphaltene precipitation through power-law committee machine (PLCM) model with alternating conditional expectation (ACE) and support vector regression (SVR) elements is a scholarly article[1].

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  • Improving the estimation accuracy of titration-based asphaltene precipitation through power-law committee machine (PLCM) model with alternating conditional expectation (ACE) and support vector regression (SVR) elements's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Improving the estimation accuracy of titration-based asphaltene precipitation through power-law committee machine (PLCM) model with alternating conditional expectation (ACE) and support vector regression (SVR) elements. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-the-estimation-accuracy-of-titration-based-asphaltene-precipitation-through-power-law-committee-machine-plcm-m
MLA “Improving the estimation accuracy of titration-based asphaltene precipitation through power-law committee machine (PLCM) model with alternating conditional expectation (ACE) and support vector regression (SVR) elements.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-the-estimation-accuracy-of-titration-based-asphaltene-precipitation-through-power-law-committee-machine-plcm-m.
BibTeX @misc{4ortxyz_improving-the-estimation-accuracy-of-titration-based-asphaltene-precipitation-through-power-law-committee-machine-plcm-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving the estimation accuracy of titration-based asphaltene precipitation through power-law committee machine (PLCM) model with alternating conditional expectation (ACE) and support vector regression (SVR) elements}}, year = {2026}, url = {https://4ort.xyz/entity/improving-the-estimation-accuracy-of-titration-based-asphaltene-precipitation-through-power-law-committee-machine-plcm-m}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving the estimation accuracy of titration-based asphaltene precipitation through power-law committee machine (PLCM) model with alternating conditional expectation (ACE) and support vector regression (SVR) elements — https://4ort.xyz/entity/improving-the-estimation-accuracy-of-titration-based-asphaltene-precipitation-through-power-law-committee-machine-plcm-m (retrieved 2026-05-24)

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