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

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Vydáno v:Electronics (Basel) Ročník 14; číslo 17; s. 3339
Hlavní autoři: Badri, Sahar, Alghazzawi, Daniyal M., Hasan, Syed Humaid, Alfayez, Fayez, Hasan, Syed Hamid, Rahman, Monawar, Bhatia, Surbhi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.09.2025
Témata:
Cloud computing
ISSN:2079-9292, 2079-9292
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Abstract In the original publication [...]
AbstractList In the original publication [...]
Audience Academic
Author Hasan, Syed Hamid
Hasan, Syed Humaid
Bhatia, Surbhi
Alfayez, Fayez
Rahman, Monawar
Alghazzawi, Daniyal M.
Badri, Sahar
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Cites_doi 10.3390/electronics12061441
ContentType Journal Article
Copyright COPYRIGHT 2025 MDPI AG
2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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– notice: 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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SubjectTerms Cloud computing
Title Correction: Badri et al. An Efficient and Secure Model Using Adaptive Optimal Deep Learning for Task Scheduling in Cloud Computing. Electronics 2023, 12, 1441
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