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Mathematical Biosciences and Engineering

2023, Volume 20, Issue 6: 10675-10677. doi: 10.3934/mbe.2023472
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Correction Special Issues

Correction: Facial expression recognition using lightweight deep learning modeling

  • 1.
    Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Tobe Camp, Abbottabad-22060, Pakistan
  • 2.
    Department of Computer Science, the University of Lahore, Sargodha Campus 40100, Pakistan
  • 3.
    College of Technological Innovation at Zayed University in Abu Dhabi, UAE
  • 4.
    Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou 311121, China
  • 5.
    College of Computer Science & Software Engineering, Shenzhen University, Shenzhen 518060, China
  • 6.
    Department of Computer Science, Institute of Management Sciences, Peshawar, Pakistan
  • 7.
    Department of IT & CS, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology (PAF-IAST), Haripur 22620, Pakistan
  • † These two authors contributed equally.
    Correction of: Mathematical Biosciences and Engineering 20: 8208-8225
  • Received: 30 December 2022 Revised: 05 February 2023 Accepted: 09 February 2023 Published: 14 April 2023

  • Citation: Mubashir Ahmad, Saira, Omar Alfandi, Asad Masood Khattak, Syed Furqan Qadri, Iftikhar Ahmed Saeed, Salabat Khan, Bashir Hayat, Arshad Ahmad. Correction: Facial expression recognition using lightweight deep learning modeling[J]. Mathematical Biosciences and Engineering, 2023, 20(6): 10675-10677. doi: 10.3934/mbe.2023472

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    [1] M. J. Lyons, "Excavating AI" Re-excavated: Debunking a fallacious account of the JAFFE dataset, preprint, arXiv: 2107.13998.
    [2] M. J. Lyons, M. Kamachi, J. Gyoba, Coding facial expressions with Gabor wavelets (IVC special issue), preprint, arXiv: 2009.05938.
    [3] T. Kanade, J. F. Cohn, Y. Tian, Comprehensive database for facial expression analysis, in Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), (2000), 46–53. https://doi.org/10.1109/AFGR.2000.840611
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  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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