[1]
M. Osman, F. Elghaffi, L. Ben Dalla, Ömer Karal, and T. Rashid, “A New Approach for Low-Latency, High-Accuracy Anomaly Detection at the Edge: Benchmarking Quantized Autoencoders, LSTMs, and Lightweight Transformers on RT-IoT2022 Time-Series Traffic”, waujpas, vol. 4, no. 1, pp. 110–121, Jan. 2026, doi: 10.63318/waujpasv4i1_12.