In the published article, there was an error in the Funding statement. The grant number was incorrect. The correct statement appears below:
“The author(s) declares that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Researchers Supporting Project Number (RSP2024R249), King Saud University, Riyadh, Saudi Arabia.”
The same error appeared in the Acknowledgments statement. The correct statement appears below:
“We would like to thank MathWorks and Datamine software for their assistance during the development of the work. Deep thanks and gratitude to the Researchers Supporting Project Number (RSP2024R249), King Saud University, Riyadh, Saudi Arabia, for funding this research article.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
geology, lithology identification, machine learning, neural network, Bayesian optimization
Citation
Soulaimani S, Soulaimani A, Abdelrahman K, Miftah A, Fnais MS and Mondal BK (2025) Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization. Front. Earth Sci. 12:1544327. doi: 10.3389/feart.2024.1544327
Received
12 December 2024
Accepted
13 December 2024
Published
27 February 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2024
Updates
Copyright
© 2025 Soulaimani, Soulaimani, Abdelrahman, Miftah, Fnais and Mondal.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Saâd Soulaimani, soulaimani@enim.ac.ma; Kamal Abdelrahman, khassanein@ksu.edu.sa
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.