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Volume 14
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Correction to Electronics 2023, 12(6), 1441.
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Correction

Correction: Badri et al. An Efficient and Secure Model Using Adaptive Optimal Deep Learning for Task Scheduling in Cloud Computing. Electronics 2023, 12, 1441

by
Sahar Badri
1,
Daniyal M. Alghazzawi
1,
Syed Humaid Hasan
2,
Fayez Alfayez
3,
Syed Hamid Hasan
1,*,
Monawar Rahman
4 and
Surbhi Bhatia
5,*
1
Department of Information Systems, College of Computer Sciences and Information Technology, King Abdulaziz University, Jeddah 80200, Saudi Arabia
2
ACS Solution, Software Engineer—Loaned out to IBM Cloud, Minneapolis, MN 55437, USA
3
Department of Computer Science and Information, College of Science, Majmaah University, AL-Majmaah 11952, Saudi Arabia
4
Department of Information Technology, University of Technology and Applied Sciences, Al Musannah 516, Oman
5
Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Electronics 2025, 14(17), 3339; https://doi.org/10.3390/electronics14173339
Submission received: 28 July 2025 / Accepted: 4 August 2025 / Published: 22 August 2025
Versions Notes
In the original publication [1], the citation referring to References 1, 15, and 21 in the manuscript has been retracted. Concerns were raised about Reference 6.
Due to this matter, the following references were removed from the reference list:
1.
Praveenchandar, J.; Tamilarasi, A. Dynamic resource allocation with optimized task scheduling and improved power management in cloud computing. J. Ambient. Intell. Humaniz. Comput. 2021, 12, 4147–4159.
6.
Shahzad, F.; Javed, A.R.; Zikria, Y.B.; Rehman, S.; Jalil, Z. Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects. TechRxiv 2021.
15.
Su, Y.; Bai, Z.; Xie, D. The optimizing resource allocation and task scheduling based on cloud computing and Ant Colony Optimization Algorithm. J. Ambient. Intell. Humaniz. Comput. 2021, 1–9.
21.
Kalaichelvi, V.; Meenakshi, P.; Vimala Devi, P.; Manikandan, H.; Venkateswari, P.; Swaminathan, S. A stable image steganography: A novel approach based on modified RSA algorithm and 2–4 least significant bit (LSB) technique. J. Ambient. Intell. Humaniz. Comput. 2021, 12, 7235–7243.
After removing reference [15], the following sentence should also be deleted:
“The cloud computing and ant colony optimization algorithm (ACOA) was developed by Su, Y. et al. [15] to schedule tasks and allocate resource optimization.”
An investigation has been made in order to determine if the citations affect the methodology of the paper. Our Editorial Board concluded that “the references do not form the basis of the core methodology, results, or conclusions of the paper. The integrity and scientific validity of the main findings remain unaffected.”
The Editorial Office decided to make corrections and remove the references.
This correction was approved by the Academic Editor.
The original publication has also been updated.

Reference

  1. Badri, S.; Alghazzawi, D.M.; Hasan, S.H.; Alfayez, F.; Hasan, S.H.; Rahman, M.; Bhatia, S. An Efficient and Secure Model Using Adaptive Optimal Deep Learning for Task Scheduling in Cloud Computing. Electronics 2023, 12, 1441. [Google Scholar] [CrossRef]
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Share and Cite

MDPI and ACS Style

Badri, S.; Alghazzawi, D.M.; Hasan, S.H.; Alfayez, F.; Hasan, S.H.; Rahman, M.; Bhatia, S. Correction: Badri et al. An Efficient and Secure Model Using Adaptive Optimal Deep Learning for Task Scheduling in Cloud Computing. Electronics 2023, 12, 1441. Electronics 2025, 14, 3339. https://doi.org/10.3390/electronics14173339

AMA Style

Badri S, Alghazzawi DM, Hasan SH, Alfayez F, Hasan SH, Rahman M, Bhatia S. Correction: Badri et al. An Efficient and Secure Model Using Adaptive Optimal Deep Learning for Task Scheduling in Cloud Computing. Electronics 2023, 12, 1441. Electronics. 2025; 14(17):3339. https://doi.org/10.3390/electronics14173339

Chicago/Turabian Style

Badri, Sahar, Daniyal M. Alghazzawi, Syed Humaid Hasan, Fayez Alfayez, Syed Hamid Hasan, Monawar Rahman, and Surbhi Bhatia. 2025. "Correction: Badri et al. An Efficient and Secure Model Using Adaptive Optimal Deep Learning for Task Scheduling in Cloud Computing. Electronics 2023, 12, 1441" Electronics 14, no. 17: 3339. https://doi.org/10.3390/electronics14173339

APA Style

Badri, S., Alghazzawi, D. M., Hasan, S. H., Alfayez, F., Hasan, S. H., Rahman, M., & Bhatia, S. (2025). Correction: Badri et al. An Efficient and Secure Model Using Adaptive Optimal Deep Learning for Task Scheduling in Cloud Computing. Electronics 2023, 12, 1441. Electronics, 14(17), 3339. https://doi.org/10.3390/electronics14173339

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