A feature extraction and deep learning approach for network traffic volume prediction considering detector reliability.
Xiexin ZouEdward ChungYue ZhouMeng LongWilliam H. K. LamPublished in: Comput. Aided Civ. Infrastructure Eng. (2024)
Keyphrases
- traffic volume
- network reliability
- deep learning
- network traffic
- feature extraction
- network topologies
- computer networks
- transmission line
- unsupervised learning
- ip networks
- data transmission
- routing algorithm
- communication networks
- network topology
- mental models
- intrusion detection
- weakly supervised
- peer to peer
- traffic accidents
- wireless mesh networks
- machine learning
- network security
- sensor networks
- wireless sensor networks
- moving objects
- face recognition
- image processing
- feature selection