Vol. 3 No. 1 (2026)

Welcome to this issue of the International Journal of Emerging Technologies and Advanced Applications (IJETAA). This edition presents cutting-edge research at the intersection of artificial intelligence and intelligent security systems. A featured contribution offers a comprehensive survey of anomalous behavior detection in video surveillance, tracing the evolution from traditional optical flow and background modeling techniques to advanced deep learning architectures including CNNs, LSTMs, autoencoders, and GANs. The paper further examines emerging Transformer and graph neural network approaches, alongside multimodal fusion strategies and edge deployment considerations. Benchmark datasets such as UCF-Crime and ShanghaiTech are evaluated against standard metrics. We hope this issue provides valuable insights and inspires continued innovation among our readers and contributors.