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Open Access

Retraction

Retraction: Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification

  • The PLOS One Editors

The PLOS One Editors retract this article [1] due to concerns about potential manipulation of the publication process. These concerns call into question the validity and provenance of the reported results. We regret that the issues were not identified prior to the article’s publication.

RS, FW, SA, YM, JK, and YL did not agree with the retraction. AA either did not respond directly or could not be reached.

Reference

  1. 1. Sheikh R, Wahid F, Ali S, Alkhayyat A, Ma Y, Khan J, et al. RETRACTED: Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification. PLoS One 2025;20(9):e0327985. pmid:40911635

Citation: The PLOS One Editors (2026) Retraction: Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification. PLoS One 21(6): e0351271. https://doi.org/10.1371/journal.pone.0351271

Published: June 23, 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.