An Efficient Long Short-TermMemory and Gated Recurrent Unit Based Smart Vessel Trajectory Prediction Using Automatic Identification System Data

被引：0
|
作者：
Zaman, Umar [1 ]
Khan, Junaid [2 ]
Lee, Eunkyu [1 ,3 ]
Hussain, Sajjad [4 ]
Balobaid, Awatef Salim [5 ]
Aburasain, Rua Yahya [5 ]
Kim, Kyungsup [1 ,2 ]
机构：
[1] Department of Computer Engineering, Chungnam National University, Daejeon,34134, Korea, Republic of
[2] Department of Environmental IT Engineering, Chungnam National University, Daejeon,34134, Korea, Republic of
[3] Autonomous Ship Research Center, Samsung Heavy Industries, Daejeon,34051, Korea, Republic of
[4] ICAROS Center (PRISMA Lab), University of Naples Federico II, Naples,80131, Italy
[5] Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Jazan,45142, Saudi Arabia
来源：
Computers, Materials and Continua | 2024年 / 81卷 / 01期
基金：
新加坡国家研究基金会;
关键词：
1101 - 1101.2.1 - 1103.1 - 1106 - 434 Waterway Transportation - 435.1.1 - 435.1.2 - 472 Ocean Engineering - 716.1 Information Theory and Signal Processing - 914.1 Accidents and Accident Prevention;
D O I：
10.32604/cmc.2024.056222
中图分类号：
学科分类号：
摘要：
35
引用
收藏
页码：1789 / 1808
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