Anjum, M.; Khan, K.; Ahmad, W.; Ahmad, A.; Amin, M.N.; Nafees, A.
Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete. Polymers 2022, 14, 3906.
https://doi.org/10.3390/polym14183906
AMA Style
Anjum M, Khan K, Ahmad W, Ahmad A, Amin MN, Nafees A.
Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete. Polymers. 2022; 14(18):3906.
https://doi.org/10.3390/polym14183906
Chicago/Turabian Style
Anjum, Madiha, Kaffayatullah Khan, Waqas Ahmad, Ayaz Ahmad, Muhammad Nasir Amin, and Afnan Nafees.
2022. "Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete" Polymers 14, no. 18: 3906.
https://doi.org/10.3390/polym14183906
APA Style
Anjum, M., Khan, K., Ahmad, W., Ahmad, A., Amin, M. N., & Nafees, A.
(2022). Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete. Polymers, 14(18), 3906.
https://doi.org/10.3390/polym14183906