


default search action
"BiTAD: An Interpretable Temporal Anomaly Detector for 5G Networks with ..."
Justin Li Ting Lau et al. (2025)
- Justin Li Ting Lau, Ying Han Pang, Charilaos Zarakovitis, Heng Siong Lim, Dionysis Skordoulis, Shih Yin Ooi

, Kah-Yoong Chan
, Wai Leong Pang
:
BiTAD: An Interpretable Temporal Anomaly Detector for 5G Networks with TwinLens Explainability. Future Internet 17(11): 482 (2025)

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














