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Journal: Future Internet, 2025
Volume: 17
Number: 482
482
Article: BiTAD: An Interpretable Temporal Anomaly Detector for 5G Networks with TwinLens Explainability
Authors: by Justin Li Ting Lau, Ying Han Pang, Charilaos Zarakovitis, Heng Siong Lim, Dionysis Skordoulis, Shih Yin Ooi, Kah Yoong Chan and Wai Leong Pang
Link: https://www.mdpi.com/1999-5903/17/11/482

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