AE-BiLSTM: Multivariate Time-Series EMI Anomaly Detection in 5G-R High-Speed Rail Wireless Communications.
Yejing FanLi ZhangKang LiPublished in: ICC Workshops (2024)
Keyphrases
- anomaly detection
- high speed
- wireless communication
- multivariate time series
- wireless networks
- intrusion detection
- computer simulation
- communication networks
- wireless sensor networks
- network traffic
- detect anomalies
- dimension reduction
- intrusion detection system
- temporal data
- autoregressive
- categorical data
- temporal patterns
- data sets
- supervised learning
- object recognition
- spatial structure
- computer vision