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Saâd Soulaimani1,2*
Ayoub Soulaimani3
Kamal Abdelrahman4*
Abdelhalim Miftah5
Mohammed S. Fnais4Biraj Kanti Mondal6- 1Resources Valorization, Environment and Sustainable Development Research Team (RVESD), Department of Mines, Mines School of Rabat, Rabat, Morocco
- 2Geology and Sustainable Mining Institute, Mohammed VI Polytechnic University, Ben Guerir, Morocco
- 3Natural Resources and Sustainable Development Laboratory, Department of Earth Sciences, Faculty of Sciences, Ibn Tofaïl University, Kénitra, Morocco
- 4Department of Geology and Geophysics, College of Science, King Saud University, Riyadh, Saudi Arabia
- 5Laboratory Physico-Chemistry of Processes and Materials, Faculty of Sciences and Techniques, Hassan First University of Settat, Settat, Morocco
- 6Department of Geography, Netaji Subhas Open University, Kolkata, India
A Corrigendum on
Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization
by Soulaimani S, Soulaimani A, Abdelrahman K, Miftah A, Fnais MS and Mondal BK (2024). Front. Earth Sci. 12:1473325. doi: 10.3389/feart.2024.1473325
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.
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.
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, SwitzerlandCopyright © 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, c291bGFpbWFuaUBlbmltLmFjLm1h; Kamal Abdelrahman, a2hhc3NhbmVpbkBrc3UuZWR1LnNh