Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping

Yan Li, Maohan Liang, Huanhuan Li^*, Zaili Yang^*, Liang Du, Zhongshuo Chen

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Original language	English
Journal	Engineering Applications of Artificial Intelligence
Volume	126
DOIs	https://doi.org/10.1016/j.engappai.2023.107012
Publication status	Published - 2023

Access to Document

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title = "Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping",

author = "Yan Li and Maohan Liang and Huanhuan Li and Zaili Yang and Liang Du and Zhongshuo Chen",

year = "2023",

doi = "https://doi.org/10.1016/j.engappai.2023.107012",

language = "English",

volume = "126",

journal = "Engineering Applications of Artificial Intelligence",

issn = "0952-1976",

}

TY - JOUR

T1 - Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping

AU - Li, Yan

AU - Liang, Maohan

AU - Li, Huanhuan

AU - Yang, Zaili

AU - Du, Liang

AU - Chen, Zhongshuo

PY - 2023

Y1 - 2023

U2 - https://doi.org/10.1016/j.engappai.2023.107012

DO - https://doi.org/10.1016/j.engappai.2023.107012

M3 - Article

SN - 0952-1976

VL - 126

JO - Engineering Applications of Artificial Intelligence

JF - Engineering Applications of Artificial Intelligence

ER -