APA (7th ed.) Citation

Li, S., Jin, L., Jiang, J., Wang, H., Nan, Q., & Sun, L. (2022). Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network. Sensors (Basel, Switzerland), 22(15), 5653. https://doi.org/10.3390/s22155653

Chicago Style (17th ed.) Citation

Li, Sheng, Liang Jin, Jinpeng Jiang, Honghai Wang, Qiuming Nan, and Lizhi Sun. "Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network." Sensors (Basel, Switzerland) 22, no. 15 (2022): 5653. https://doi.org/10.3390/s22155653.

MLA (9th ed.) Citation

Li, Sheng, et al. "Looseness Identification of Track Fasteners Based on Ultra-Weak FBG Sensing Technology and Convolutional Autoencoder Network." Sensors (Basel, Switzerland), vol. 22, no. 15, 2022, p. 5653, https://doi.org/10.3390/s22155653.