Traffic prediction for 5G: A deep learning approach based on lightweight hybrid attention networks.
Jian SuHuimin CaiZhengguo ShengA. X. LiuAbdullah BazPublished in: Digit. Signal Process. (2024)
Keyphrases
- lightweight
- deep learning
- dos attacks
- unsupervised learning
- unsupervised feature learning
- mental models
- development environments
- machine learning
- network traffic
- visual attention
- weakly supervised
- supervised learning
- communication infrastructure
- deep architectures
- rfid tags
- probabilistic model
- pairwise
- learning algorithm