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CORRECTION article

Front. Earth Sci.
Sec. Geoinformatics
Volume 12 - 2024 | doi: 10.3389/feart.2024.1544327

Corrigendum: Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization

Provisionally accepted
Saâd Soulaimani Saâd Soulaimani 1,2*Ayoub Soulaimani Ayoub Soulaimani 3Kamal Abdelrahman Kamal Abdelrahman 4*Abdelhalim Miftah Abdelhalim Miftah 5*Mohammed s fnais Mohammed s fnais 4Biraj Kanti Mondal Biraj Kanti Mondal 6
  • 1 Rabat School of Mines, Rabat, Morocco
  • 2 Mohammed VI Polytechnic University, Ben Guerir, Morocco
  • 3 Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco
  • 4 Department of Geology & Geophysics, College of Science, King Saud University, Riyadh, Saudi Arabia
  • 5 Hassan Premier University, Settat, Beni Mellal-Khenifra, Morocco
  • 6 Netaji Subhas Open University, Kolkata, West Bengal, India

This article is a correction to:

  1. Advanced machine learning artificial neural network classifier for lithology identification using Bayesian optimization

    1. Read original article

The final, formatted version of the article will be published soon.

    In the published article, there was an error in the Funding statement. [(RSP2025R351)]. The correct Funding 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 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. In the published article, there was an error.

    Keywords: Geology, Lithology identification, machine learning, Neural Network, Bayesian optimization

    Received: 12 Dec 2024; Accepted: 13 Dec 2024.

    Copyright: © 2024 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) or licensor 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, Rabat School of Mines, Rabat, Morocco
    Kamal Abdelrahman, Department of Geology & Geophysics, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
    Abdelhalim Miftah, Hassan Premier University, Settat, 26000, Beni Mellal-Khenifra, Morocco

    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.