Vessel trajectory prediction with recurrent neural networks: An evaluation of datasets, features, and architectures

IF 13 1区工程技术 Q1 ENGINEERING, MARINE

Journal of Ocean Engineering and Science Pub Date : 2024-01-01 DOI:10.1016/j.joes.2024.01.002

Isaac Slaughter, Jagir Laxmichand Charla, Martin Siderius, John Lipor

引用次数: 0

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利用递归神经网络进行船舶轨迹预测：对数据集、特征和架构的评估

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来源期刊

Journal of Ocean Engineering and Science Multiple-

CiteScore

11.50

自引率

19.70%

发文量

224

审稿时长

29 days

期刊介绍： The Journal of Ocean Engineering and Science (JOES) serves as a platform for disseminating original research and advancements in the realm of ocean engineering and science. JOES encourages the submission of papers covering various aspects of ocean engineering and science.