Cargando…
Nation-wide human mobility prediction based on graph neural networks
Nowadays, the anticipation of human mobility flow has important applications in many domains ranging from urban planning to epidemiology. Because of the high predictability of human movements, numerous successful solutions to perform such forecasting have been proposed. However, most focus on predic...
Autores principales: | Terroso-Sáenz, Fernando, Muñoz, Andrés |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288072/ https://www.ncbi.nlm.nih.gov/pubmed/34764610 http://dx.doi.org/10.1007/s10489-021-02645-3 |
Ejemplares similares
-
QUADRIVEN: A Framework for Qualitative Taxi Demand Prediction Based on Time-Variant Online Social Network Data Analysis
por: Terroso-Saenz, Fernando, et al.
Publicado: (2019) -
An analysis of twitter as a relevant human mobility proxy: A comparative approach in spain during the COVID-19 pandemic
por: Terroso-Saenz, Fernando, et al.
Publicado: (2022) -
Fuzzy Modelling for Human Dynamics Based on Online Social Networks
por: Cuenca-Jara, Jesus, et al.
Publicado: (2017) -
A Collaborative Application for Assisting the Management of Household Plastic Waste through Smart Bins: A Case of Study in the Philippines
por: Sidhu, Navjot, et al.
Publicado: (2021) -
Mining Mobile Network Fraudsters with Augmented Graph Neural Networks
por: Hu, Xinxin, et al.
Publicado: (2023)