Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Open Access

Retraction

Retraction: Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data

  • The PLOS One Editors

The PLOS One Editors retract this article [1] due to concerns about authorship and potential manipulation of the publication process. We regret that the issues were not identified prior to the article’s publication.

All authors either did not respond directly or could not be reached.

Reference

  1. 1. Xia T, Zhou L, Ahmad K. Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. PLoS One. 2025;20(2):e0317914. pmid:39913555

Citation: The PLOS One Editors (2025) Retraction: Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. PLoS One 20(5): e0324279. https://doi.org/10.1371/journal.pone.0324279

Published: May 9, 2025

Copyright: © 2025 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.