Data-Driven Ship Stay Behavior Identification in Maritime Internet of Things System
Author:
Affiliation:
1. School of Navigation, Wuhan University of Technology,Hubei Key Laboratory of Inland Shipping Technology,Wuhan,China,430063
2. Undergraduate School, Wuhan University of Technology,Wuhan,China,430070
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10500873/10501780/10501921.pdf?arnumber=10501921
Reference31 articles.
1. Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems
2. Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things
3. STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network
4. A method to extract the Quaternion Ship Domain parameters from AIS data
5. Towards a Model of Regional Vessel Near-miss Collision Risk Assessment for Open Waters based on AIS Data
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