Khan, N.M.; Cao, K.; Yuan, Q.; Bin Mohd Hashim, M.H.; Rehman, H.; Hussain, S.; Emad, M.Z.; Ullah, B.; Shah, K.S.; Khan, S.
Application of Machine Learning and Multivariate Statistics to Predict Uniaxial Compressive Strength and Static Young’s Modulus Using Physical Properties under Different Thermal Conditions. Sustainability 2022, 14, 9901.
https://doi.org/10.3390/su14169901
AMA Style
Khan NM, Cao K, Yuan Q, Bin Mohd Hashim MH, Rehman H, Hussain S, Emad MZ, Ullah B, Shah KS, Khan S.
Application of Machine Learning and Multivariate Statistics to Predict Uniaxial Compressive Strength and Static Young’s Modulus Using Physical Properties under Different Thermal Conditions. Sustainability. 2022; 14(16):9901.
https://doi.org/10.3390/su14169901
Chicago/Turabian Style
Khan, Naseer Muhammad, Kewang Cao, Qiupeng Yuan, Mohd Hazizan Bin Mohd Hashim, Hafeezur Rehman, Sajjad Hussain, Muhammad Zaka Emad, Barkat Ullah, Kausar Sultan Shah, and Sajid Khan.
2022. "Application of Machine Learning and Multivariate Statistics to Predict Uniaxial Compressive Strength and Static Young’s Modulus Using Physical Properties under Different Thermal Conditions" Sustainability 14, no. 16: 9901.
https://doi.org/10.3390/su14169901
APA Style
Khan, N. M., Cao, K., Yuan, Q., Bin Mohd Hashim, M. H., Rehman, H., Hussain, S., Emad, M. Z., Ullah, B., Shah, K. S., & Khan, S.
(2022). Application of Machine Learning and Multivariate Statistics to Predict Uniaxial Compressive Strength and Static Young’s Modulus Using Physical Properties under Different Thermal Conditions. Sustainability, 14(16), 9901.
https://doi.org/10.3390/su14169901