Li, Q.; Huang, Y.; Chen, J.; Liu, X.; Meng, X.; Lin, C.
Feature Selection and Damage Identification for Urban Railway Track Using Bayesian Globally Sparse Principal Component Analysis. Sustainability 2023, 15, 5391.
https://doi.org/10.3390/su15065391
AMA Style
Li Q, Huang Y, Chen J, Liu X, Meng X, Lin C.
Feature Selection and Damage Identification for Urban Railway Track Using Bayesian Globally Sparse Principal Component Analysis. Sustainability. 2023; 15(6):5391.
https://doi.org/10.3390/su15065391
Chicago/Turabian Style
Li, Qi, Yong Huang, Jiahui Chen, Xiaohui Liu, Xianghao Meng, and Chao Lin.
2023. "Feature Selection and Damage Identification for Urban Railway Track Using Bayesian Globally Sparse Principal Component Analysis" Sustainability 15, no. 6: 5391.
https://doi.org/10.3390/su15065391
APA Style
Li, Q., Huang, Y., Chen, J., Liu, X., Meng, X., & Lin, C.
(2023). Feature Selection and Damage Identification for Urban Railway Track Using Bayesian Globally Sparse Principal Component Analysis. Sustainability, 15(6), 5391.
https://doi.org/10.3390/su15065391