Unsupervised Deep Learning-based End-to-end Network for Anomaly Detection and Localization.
Bekhzod OlimovBarathi SubramanianJeonghong KimPublished in: ICUFN (2022)
Keyphrases
- end to end
- deep learning
- unsupervised learning
- congestion control
- wireless ad hoc networks
- internet protocol
- high bandwidth
- deep architectures
- transport layer
- packet loss rate
- weakly supervised
- admission control
- rate adaptation
- restricted boltzmann machine
- unsupervised feature learning
- ad hoc networks
- deep belief networks
- machine learning
- supervised learning
- network resources
- mental models
- scalable video
- network traffic
- differentiated services
- application layer
- network architecture
- feature selection