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Prediction of the Composition of the Wide Light Hydrocarbon Fraction by Methods of Machine Learning in Pipeline Transportation

Published Online: 2022-07-08

Published Print: 2022-02

Authors

Tereshchenko, S. N.

Osipov, A. L.

Moiseeva, E. D.
License Information

Text and Data Mining valid from 2022-02-01

Version of Record valid from 2022-02-01
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Article History

Received: 5 October 2021

Revised: 2 November 2021

Accepted: 7 December 2021

First Online: 8 July 2022

CONFLICT OF INTEREST

: The authors declare that they have no conflicts of interest.

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