APA (7th ed.) Citation

Li, X., Wen, P., Chen, P., Chen, J., Wen, X., & Xia, Y. (2024). An effective parallel convolutional anomaly multi-classification model for fault diagnosis in microservice system. Software Quality Journal, 32(3), 921. https://doi.org/10.1007/s11219-024-09672-6

Chicago Style (17th ed.) Citation

Li, Xi, Peian Wen, Peng Chen, Juan Chen, Xuming Wen, and Yunni Xia. "An Effective Parallel Convolutional Anomaly Multi-classification Model for Fault Diagnosis in Microservice System." Software Quality Journal 32, no. 3 (2024): 921. https://doi.org/10.1007/s11219-024-09672-6.

MLA (9th ed.) Citation

Li, Xi, et al. "An Effective Parallel Convolutional Anomaly Multi-classification Model for Fault Diagnosis in Microservice System." Software Quality Journal, vol. 32, no. 3, 2024, p. 921, https://doi.org/10.1007/s11219-024-09672-6.