APA (7th ed.) Citation

Yan, B., Zheng, J., Li, R., Fu, K., Chen, P., Jia, G., . . . Gao, B. (2023). Semi-supervised pipeline anomaly detection algorithm based on memory items and metric learning. Nondestructive Testing & Evaluation, 38(5), 753. https://doi.org/10.1080/10589759.2023.2169285

Chicago Style (17th ed.) Citation

Yan, Bingchuan, Jianfeng Zheng, Rui Li, Kuan Fu, Pengchao Chen, Guangming Jia, Yunhan Shi, Junshuang Lv, and Bin Gao. "Semi-supervised Pipeline Anomaly Detection Algorithm Based on Memory Items and Metric Learning." Nondestructive Testing & Evaluation 38, no. 5 (2023): 753. https://doi.org/10.1080/10589759.2023.2169285.

MLA (9th ed.) Citation

Yan, Bingchuan, et al. "Semi-supervised Pipeline Anomaly Detection Algorithm Based on Memory Items and Metric Learning." Nondestructive Testing & Evaluation, vol. 38, no. 5, 2023, p. 753, https://doi.org/10.1080/10589759.2023.2169285.