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CORRECTION

Correction: A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection

Hamza Murad Khan1, Shakila Basheer2, Mohammad Tabrez Quasim3, Raja`a Al-Naimi4, Vijaykumar Varadarajan5, Anwar Khan1,*

1 Department of Electronics, University of Peshawar, Peshawar, 25120, Pakistan
2 Department of Information Systems, College of Computer and Information Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
3 Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, P.O. Box551, Bisha, 61922, Saudi Arabia
4 Department of Mathematics, University of Petra, Amman, 1199, Jordan
5 School of Computer Science, University of Technology, Sydney, 2007, Australia

* Corresponding Author: Anwar Khan. Email: email

Computers, Materials & Continua 2026, 88(3), 108 https://doi.org/10.32604/cmc.2026.087222

This article is a correction of:

A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection
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Cite This Article

APA Style
Khan, H.M., Basheer, S., Quasim, M.T., Al-Naimi, R., Varadarajan, V. et al. (2026). Correction: A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection. Computers, Materials & Continua, 88(3), 108. https://doi.org/10.32604/cmc.2026.087222
Vancouver Style
Khan HM, Basheer S, Quasim MT, Al-Naimi R, Varadarajan V, Khan A. Correction: A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection. Comput Mater Contin. 2026;88(3):108. https://doi.org/10.32604/cmc.2026.087222
IEEE Style
H. M. Khan, S. Basheer, M. T. Quasim, R. Al-Naimi, V. Varadarajan, and A. Khan, “Correction: A Transformer-Based Deep Learning Framework with Semantic Encoding and Syntax-Aware LSTM for Fake Electronic News Detection,” Comput. Mater. Contin., vol. 88, no. 3, pp. 108, 2026. https://doi.org/10.32604/cmc.2026.087222



cc Copyright © 2026 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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