Benchmarking feed-forward randomized neural networks for vessel trajectory prediction
The burgeoning scale and speed of maritime vessels present escalating challenges to navigational safety. Perceiving the motions of vessels, identifying anomalies, and risk warnings are crucial. Central to addressing these challenges is the analysis of vessel trajectories, which are pivotal for anoma...
Main Authors: | Cheng, Ruke, Liang, Maohan, Li, Huanhuan, Yuen, Kum Fai |
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Other Authors: | School of Civil and Environmental Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/180801 |
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