APA (7th ed.) Citation

Fernando, D., Rodriguez, M. A., Arroba, P., Ismail, L., & Buyya, R. (2025). Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments. ACM Transactions on Autonomous & Adaptive Systems, 20(2), 1. https://doi.org/10.1145/3725736

Chicago Style (17th ed.) Citation

Fernando, Duneesha, Maria A. Rodriguez, Patricia Arroba, Leila Ismail, and Rajkumar Buyya. "Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments." ACM Transactions on Autonomous & Adaptive Systems 20, no. 2 (2025): 1. https://doi.org/10.1145/3725736.

MLA (9th ed.) Citation

Fernando, Duneesha, et al. "Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments." ACM Transactions on Autonomous & Adaptive Systems, vol. 20, no. 2, 2025, p. 1, https://doi.org/10.1145/3725736.