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CORRECTION
Correction: Computational Linguistics Based Arabic Poem Classification and Dictarization Model
1
Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj,
Saudi Arabia
2
Department of Applied Linguistics, College of Languages, Princess Nourah bint Abdulrahman University, P.O. Box 84428,
Riyadh, 11671, Saudi Arabia
3
Prince Saud AlFaisal Institute for Diplomatic Studies, Riyadh, Saudi Arabia
4
Department of Computer Science, College of Computing and Information System, Umm Al-Qura University, Makkah, Saudi
Arabia
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Department of Computer Science, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo,
11835, Egypt
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Department of Information System, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University,
AlKharj, Saudi Arabia
*
Corresponding Author: Manar Ahmed Hamza. Email: ma.hamza@psau.edu.sa
Computer Systems Science and Engineering 2024, 48(3), 869-870. https://doi.org/10.32604/csse.2024.053660
Issue published 20 May 2024
This article is a correction of:
Computational Linguistics Based Arabic Poem Classification and Dictarization Model
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This article has no abstract.In the article “Computational Linguistics Based Arabic Poem Classification and Dictarization Model” by Manar Ahmed Hamza, Hala J. Alshahrani, Najm Alotaibi, Mohamed K. Nour, Mahmoud Othman, Gouse Pasha Mohammed, Mohammed Rizwanullah, Mohamed I. Eldesouki (Computer Systems Science and Engineering, 2024, Vol. 48, No. 1, pp. 97–114. DOI: 10.32604/csse.2023.034520), The following references [22] is irrelevant to the topic.
The authors wish to apologize for any inconvenience caused due to the fact that the cited reference is irrelevant to the topic. Please check the following updates:
Original Content/Reference:
1. Delete Reference [22]
22. Y. Wang, W. Liao and Y. Chang, “Gated recurrent unit network-based short-term photovoltaic forecasting,” Energies, vol. 11, no. 8, pp. 2163, 2018.
2. Delete content referencing References [22] in the main text:
In recent times, GRU, a family of RNNs, was introduced for handling exploding or vanishing gradient problems. GRU is a modest and robust alternating for LSTM networks [22].
The authors state that the scientific conclusions are unaffected. This correction was approved by the Computer Systems Science and Engineering Editorial Office. The original publication has also been updated.
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Copyright © 2024 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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