Amin, M.N.; Iqtidar, A.; Khan, K.; Javed, M.F.; Shalabi, F.I.; Qadir, M.G.
Comparison of Machine Learning Approaches with Traditional Methods for Predicting the Compressive Strength of Rice Husk Ash Concrete. Crystals 2021, 11, 779.
https://doi.org/10.3390/cryst11070779
AMA Style
Amin MN, Iqtidar A, Khan K, Javed MF, Shalabi FI, Qadir MG.
Comparison of Machine Learning Approaches with Traditional Methods for Predicting the Compressive Strength of Rice Husk Ash Concrete. Crystals. 2021; 11(7):779.
https://doi.org/10.3390/cryst11070779
Chicago/Turabian Style
Amin, Muhammad Nasir, Ammar Iqtidar, Kaffayatullah Khan, Muhammad Faisal Javed, Faisal I. Shalabi, and Muhammad Ghulam Qadir.
2021. "Comparison of Machine Learning Approaches with Traditional Methods for Predicting the Compressive Strength of Rice Husk Ash Concrete" Crystals 11, no. 7: 779.
https://doi.org/10.3390/cryst11070779
APA Style
Amin, M. N., Iqtidar, A., Khan, K., Javed, M. F., Shalabi, F. I., & Qadir, M. G.
(2021). Comparison of Machine Learning Approaches with Traditional Methods for Predicting the Compressive Strength of Rice Husk Ash Concrete. Crystals, 11(7), 779.
https://doi.org/10.3390/cryst11070779
