SHARMILA, Ms.D.; UMA, Dr.S. Intelligent Anomaly Detection in Campus Networks using Lightweight Vector Quantized Conditional Weighted Wasserstein Autoencoder and Optimized Bayesian Temporal Convolutional Network. International Journal of Artificial Intelligence and Machine Learning, [S. l.], v. 6, n. 1s, p. 917–932, 2026. DOI: 10.51483/IJAIML.6.1s.2026.917-932. Disponível em: https://www.svedbergopen.com/index.php/ijaiml/article/view/162. Acesso em: 26 jul. 2026.