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

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Journal
Polymers
Published
2026-05-29
DOI
https://doi.org/10.3390/polym18111349
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Mudassir Iqbal, Babatunde Abiodun Salami, Abdullah Mohammad Abu Arab, Fazal E. Jalal et al.
Polymers
Structural Behavior of Reinforced Concrete
article

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

Mudassir Iqbal, Babatunde Abiodun Salami, Abdullah Mohammad Abu Arab, Fazal E. Jalal, Izaz Ahamd, Anas Abdulalim Alabdullah, Muhammad Nasir Amin, Kaffayatullah Khan
article en

Abstract

No abstract available for this paper.
PolymersVol. 18(11)
King Fahd University of Petroleum and Minerals (SA), Shanghai Jiao Tong University (CN), Shanghai Ocean University (CN), King Faisal University (SA), University of Engineering and Technology Peshawar (PK)
King Faisal University
Life in Land
Openalex Percentile: Top 8%
Structural Behavior of Reinforced Concrete
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