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A Ship Trajectory Prediction Framework Based on a Recurrent Neural Network
Ship trajectory prediction is a key requisite for maritime navigation early warning and safety, but accuracy and computation efficiency are major issues still to be resolved. The research presented in this paper introduces a deep learning framework and a Gate Recurrent Unit (GRU) model to predict ve...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7570964/ https://ncbi.nlm.nih.gov/pubmed/32916845 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185133 |
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