A hybrid deep learning method for the prediction of ship time headway using automatic identification system data

Ma, Quandang; Du, Xu; Liu, Cong; Jiang, Yuting; Liu, Zhao; Xiao, Zhe; Zhang, Mingyang

doi:10.1016/j.engappai.2024.108172

Engineering Applications of Artificial Intelligence

2024

DOI: 10.1016/j.engappai.2024.108172

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A hybrid deep learning method for the prediction of ship time headway using automatic identification system data

Quandang Ma,

Xu Du,

Cong Liu

et al.

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Cited by 9 publications

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A hybrid deep learning method for the prediction of ship time headway using automatic identification system data

Cited by 9 publications

References 49 publications

Comprehensive Analysis of PM2.5 Concentrations in the Seoul Metro Underground Stations: Relationships with Indoor Sources and Outdoor Air Quality

Comprehensive Analysis of PM2.5 Concentrations in the Seoul Metro Underground Stations: Relationships with Indoor Sources and Outdoor Air Quality

Multimodal vehicle trajectory prediction and integrated threat assessment algorithm based on adaptive driving intention

A data mining-then-predict method for proactive maritime traffic management by machine learning

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