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Editorial Note

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Editorial Note: An assessment of optimizing biofuel yield percentage using K-fold integrated machine learning models for a sustainable future

  • The PLOS One Editors

The PLOS One Editors issue this Editorial Note to inform readers of concerns regarding compliance with PLOS Authorship policy for this article [1]. We regret that the issues were not addressed prior to the article’s publication.

Reference

  1. 1. Ramalingam K, Abdullah MZ, Elumalai PV, Sangeetha A, Yong X, Hasan N, et al. An assessment of optimizing biofuel yield percentage using K-fold integrated machine learning models for a sustainable future. PLoS One. 2025;20(8):e0328880. pmid:40811377

Citation: The PLOS One Editors (2026) Editorial Note: An assessment of optimizing biofuel yield percentage using K-fold integrated machine learning models for a sustainable future. PLoS One 21(1): e0339811. https://doi.org/10.1371/journal.pone.0339811

Published: January 6, 2026

Copyright: © 2026 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.