Cargando…
Data Prediction of Mobile Network Traffic in Public Scenes by SOS-vSVR Method
Accurate base station traffic data in a public place with large changes in the amount of people could help predict the occurrence of network congestion, which would allow us to effectively allocate network resources. This is of great significance for festival network support, routine maintenance, an...
Autores principales: | Zheng, Xiaoliang, Lai, Wenhao, Chen, Hualiang, Fang, Shen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037419/ https://www.ncbi.nlm.nih.gov/pubmed/31978957 http://dx.doi.org/10.3390/s20030603 |
Ejemplares similares
-
Concordance of SVR12, SVR24 and SVR durability in Taiwanese chronic hepatitis C patients with direct-acting antivirals
por: Lin, Chuan-Pin, et al.
Publicado: (2021) -
A Multibranch Object Detection Method for Traffic Scenes
por: Feng, Jiangfan, et al.
Publicado: (2019) -
Road traffic collisions in Malawi: Trends and patterns of mortality on scene
por: Schlottmann, Francisco, et al.
Publicado: (2017) -
Road traffic collisions in Malawi: Trends and patterns of mortality on scene
por: Manyozo, Steven, et al.
Publicado: (2018) -
Analysis and Synthesis of Traffic Scenes from Road Image Sequences
por: Yuan, Sheng, et al.
Publicado: (2020)