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

Umar Zaman1, Junaid Khan2, Eunkyu Lee1,3, Sajjad Hussain4, Awatef Salim Balobaid5, Rua Yahya Aburasain5, Kyungsup Kim1,2,*

1 Department of Computer Engineering, Chungnam National University, Daejeon, 34134, Republic of Korea
2 Department of Environmental IT Engineering, Chungnam National University, Daejeon, 34134, Republic of Korea
3 Autonomous Ship Research Center, Samsung Heavy Industries, Daejeon, 34051, Republic of Korea
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

* Corresponding Author: Kyungsup Kim. Email: email

TSP_CMC_56222.pdf

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