Correction: Ali et al. A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem. Mathematics 2022, 10, 2675

Ali, Mona A. S.; P. P., Fathimathul Rajeena; Salama Abd Elminaam, Diaa

doi:10.3390/math11092195

Open AccessCorrection

Correction: Ali et al. A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem. Mathematics 2022, 10, 2675

by

Mona A. S. Ali

^1,2,*,†

,

Fathimathul Rajeena P. P.

^1,†

and

Diaa Salama Abd Elminaam

^2,3,4,*,†

¹

Computer Science Department, College of Computer Science and Information Technology, King Faisal University, Al Ahsa 400, Saudi Arabia

²

Faculty of Computers and Artificial Intelligence, Benha University, Benha 12311, Egypt

³

Computer Science Department, Faculty of Computer Science, Misr International University, Cairo 12585, Egypt

⁴

Faculty of Information Technology, Middle East University, Amman 11831, Jordan

^*

Authors to whom correspondence should be addressed.

^†

These authors contributed equally to this work.

Mathematics 2023, 11(9), 2195; https://doi.org/10.3390/math11092195

Submission received: 10 April 2023 / Accepted: 27 April 2023 / Published: 6 May 2023

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Additional Affiliation(s)

In the original publication [1], there was an error regarding the affiliation(s) for **Diaa Salama Abd Elminaam**. In addition to affiliation(s) **3,4**, the updated affiliation(s) should include: *2,3,4*

²: Faculty of Computers and Artificial Intelligence, Benha University, Benha 12311, Egypt
³: Computer Science Department, Faculty of Computer Science, Misr International University, Cairo 12585, Egypt
⁴: Faculty of Information Technology, Middle East University, Amman 11831, Jordan

And the author also wants to change the email information to: diaa.salama@fci.bu.edu.eg or diaa.salama@miuegypt.edu.eg or ds_desert@yahoo.com.

The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

Ali, M.A.S.; P. P., F.R.; Salama Abd Elminaam, D. A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem. Mathematics 2022, 10, 2675. [Google Scholar] [CrossRef]

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© 2023 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/).

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MDPI and ACS Style

Ali, M.A.S.; P. P., F.R.; Salama Abd Elminaam, D. Correction: Ali et al. A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem. Mathematics 2022, 10, 2675. Mathematics 2023, 11, 2195. https://doi.org/10.3390/math11092195

AMA Style

Ali MAS, P. P. FR, Salama Abd Elminaam D. Correction: Ali et al. A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem. Mathematics 2022, 10, 2675. Mathematics. 2023; 11(9):2195. https://doi.org/10.3390/math11092195

Chicago/Turabian Style

Ali, Mona A. S., Fathimathul Rajeena P. P., and Diaa Salama Abd Elminaam. 2023. "Correction: Ali et al. A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem. Mathematics 2022, 10, 2675" Mathematics 11, no. 9: 2195. https://doi.org/10.3390/math11092195

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Correction: Ali et al. A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem. Mathematics 2022, 10, 2675

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