Cargando…
Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification
The vast amounts of mobile communication data collected by mobile operators can provide important insights regarding epidemic transmission or traffic patterns. By analyzing historical data and extracting user location information, various methods can be used to predict the mobility of mobile users....
Autores principales: | Yan, Ming, Li, Shuijing, Chan, Chien Aun, Shen, Yinghua, Yu, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959290/ https://www.ncbi.nlm.nih.gov/pubmed/33802421 http://dx.doi.org/10.3390/s21051740 |
Ejemplares similares
-
Next Location Prediction Based on an Adaboost-Markov Model of Mobile Users †
por: Wang, Hongjun, et al.
Publicado: (2019) -
Scanpath modeling and classification with hidden Markov models
por: Coutrot, Antoine, et al.
Publicado: (2017) -
Impact of air pollution on human activities: Evidence from nine million mobile phone users
por: Chen, Wei, et al.
Publicado: (2021) -
Classification of users’ transportation modalities from mobiles in real operating conditions
por: Badii, Claudio, et al.
Publicado: (2021) -
A Short Video Classification Framework Based on Cross-Modal Fusion
por: Pang, Nuo, et al.
Publicado: (2023)