PMC · DOI:10.1371/journal.pone.0339811·January 6, 2026
Editorial Note: An assessment of optimizing biofuel yield percentage using K-fold integrated machine learning models for a sustainable future
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TopicsEnergy Load and Power Forecasting · Statistical and Computational Modeling · Efficiency Analysis Using DEA
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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.
Bibliography1
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- 1Ramalingam 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. P Lo S One. 2025;20(8):e 0328880. doi: 10.1371/journal.pone.0328880 40811377 PMC 12352673 · doi ↗ · pubmed ↗