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Polymers
Volume 18
Issue 11
10.3390/polym18111349
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Correction to Polymers 2022, 14(11), 2270.
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Correction

Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. Polymers 2022, 14, 2270

by
Kaffayatullah Khan
1,*,
Mudassir Iqbal
2,3,
Babatunde Abiodun Salami
4,
Muhammad Nasir Amin
1,
Izaz Ahamd
3,
Anas Abdulalim Alabdullah
1,
Abdullah Mohammad Abu Arab
1 and
Fazal E. Jalal
2
1
Department of Civil and Environmental Engineering, College of Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia
2
Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
3
Department of Civil Engineering, University of Engineering and Technology, Peshawar 25120, Pakistan
4
Interdisciplinary Research Center for Construction and Building Materials, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
*
Author to whom correspondence should be addressed.
Polymers 2026, 18(11), 1349; https://doi.org/10.3390/polym18111349
Submission received: 20 January 2026 / Accepted: 26 May 2026 / Published: 29 May 2026
(This article belongs to the Section Polymer Fibers)
Versions Notes

References

In the original publication [1], reference 31 (Vickers, N.J. Animal communication: When I’m calling you, will you answer too? Curr. Biol. 2017, 27, R713–R715) was incorrectly inserted in the References section.
Therefore, reference 31 has been replaced in the References section and reads as follows:
31.
Khorasani, A.M.; Esfahani, M.R.; Sabzi, J. Effect of transverse and flexural reinforcement on deflection and cracking of GFRP bar reinforced concrete beams. Compos. Part B Eng. 2019, 161, 530–546.
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

  1. Khan, K.; Iqbal, M.; Salami, B.A.; Amin, M.N.; Ahamd, I.; Alabdullah, A.A.; Arab, A.M.A.; Jalal, F.E. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. Polymers 2022, 14, 2270. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Khan, K.; Iqbal, M.; Salami, B.A.; Amin, M.N.; Ahamd, I.; Alabdullah, A.A.; Arab, A.M.A.; Jalal, F.E. Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. Polymers 2022, 14, 2270. Polymers 2026, 18, 1349. https://doi.org/10.3390/polym18111349

AMA Style

Khan K, Iqbal M, Salami BA, Amin MN, Ahamd I, Alabdullah AA, Arab AMA, Jalal FE. Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. Polymers 2022, 14, 2270. Polymers. 2026; 18(11):1349. https://doi.org/10.3390/polym18111349

Chicago/Turabian Style

Khan, Kaffayatullah, Mudassir Iqbal, Babatunde Abiodun Salami, Muhammad Nasir Amin, Izaz Ahamd, Anas Abdulalim Alabdullah, Abdullah Mohammad Abu Arab, and Fazal E. Jalal. 2026. "Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. Polymers 2022, 14, 2270" Polymers 18, no. 11: 1349. https://doi.org/10.3390/polym18111349

APA Style

Khan, K., Iqbal, M., Salami, B. A., Amin, M. N., Ahamd, I., Alabdullah, A. A., Arab, A. M. A., & Jalal, F. E. (2026). Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. Polymers 2022, 14, 2270. Polymers, 18(11), 1349. https://doi.org/10.3390/polym18111349

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