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Spatiotemporal dynamic network for regional maritime vessel flow prediction amid COVID-19
The COVID-19 pandemic has stifled international trade and the global maritime industry. Its impact on the routing of the regional vessel traffic flow provides supportive data to port authorities, ship owners, shippers, and consignees. This study proposes a spatiotemporal dynamic graph neural network...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553475/ https://www.ncbi.nlm.nih.gov/pubmed/36250134 http://dx.doi.org/10.1016/j.tranpol.2022.09.029 |