Cargando…
Learning Mixed Traffic Signatures in Shared Networks
On shared, wide-area networks (WAN), it can be difficult to characterise the current traffic. There can be different protocols in use, by multiple data streams, producing a mix of different traffic signatures. Furthermore, bottlenecks and protocols can change dynamically. Yet, if it were possible to...
Autores principales: | Anvari, Hamidreza, Lu, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302268/ http://dx.doi.org/10.1007/978-3-030-50371-0_39 |
Ejemplares similares
-
CenterPNets: A Multi-Task Shared Network for Traffic Perception
por: Chen, Guangqiu, et al.
Publicado: (2023) -
Data sharing practices of medicines related apps and the mobile ecosystem: traffic, content, and network analysis
por: Grundy, Quinn, et al.
Publicado: (2019) -
Impact of COVID-19 pandemic on low-carbon shared traffic scheduling under machine learning model
por: Liu, Xin, et al.
Publicado: (2021) -
Learning Region-Based Attention Network for Traffic Sign Recognition
por: Zhou, Ke, et al.
Publicado: (2021) -
Platoon dispersion model in the mixed traffic environment
por: Cheng, Wei, et al.
Publicado: (2023)