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