Cargando…
Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction
Intelligent transportation systems (ITSs) have become an indispensable component of modern global technological development, as they play a massive role in the accurate statistical estimation of vehicles or individuals commuting to a particular transportation facility at a given time. This provides...
Autores principales: | Oluwasanmi, Ariyo, Aftab, Muhammad Umar, Qin, Zhiguang, Sarfraz, Muhammad Shahzad, Yu, Yang, Rauf, Hafiz Tayyab |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142795/ https://www.ncbi.nlm.nih.gov/pubmed/37112181 http://dx.doi.org/10.3390/s23083836 |
Ejemplares similares
-
Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection
por: Oluwasanmi, Ariyo, et al.
Publicado: (2021) -
Secure and dynamic access control for the Internet of Things (IoT) based traffic system
por: Aftab, Muhammad Umar, et al.
Publicado: (2021) -
WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases
por: Javaid, Momna, et al.
Publicado: (2023) -
Pathological-Gait Recognition Using Spatiotemporal Graph Convolutional Networks and Attention Model
por: Kim, Jungi, et al.
Publicado: (2022) -
An Attention-Guided Spatiotemporal Graph Convolutional Network for Sleep Stage Classification
por: Li, Menglei, et al.
Publicado: (2022)