Using Deep Learning to Forecast Maritime Vessel Flows

Forecasting vessel flows is important to the development of intelligent transportation systems in the maritime field, as real-time and accurate traffic information has favorable potential in helping a maritime authority to alleviate congestion, mitigate emission of GHG (greenhouse gases) and enhance...

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Detalles Bibliográficos
Autores principales: Zhou, Xiangyu, Liu, Zhengjiang, Wang, Fengwu, Xie, Yajuan, Zhang, Xuexi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146195/
https://www.ncbi.nlm.nih.gov/pubmed/32235812
http://dx.doi.org/10.3390/s20061761

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146195/
https://www.ncbi.nlm.nih.gov/pubmed/32235812
http://dx.doi.org/10.3390/s20061761

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