Using deep learning to forecast maritime vessel flows
10.3390/s20061761
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2021
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sg-nus-scholar.10635-1961902023-11-01T07:51:12Z Using deep learning to forecast maritime vessel flows Zhou, X. Liu, Z. Wang, F. Xie, Y. Zhang, X. CENTRE FOR MARITIME STUDIES Deep learning Intelligent transportation systems Maritime vessel flows 10.3390/s20061761 Sensors (Switzerland) 20 6 1761 2021-08-10T03:04:13Z 2021-08-10T03:04:13Z 2020 Article Zhou, X., Liu, Z., Wang, F., Xie, Y., Zhang, X. (2020). Using deep learning to forecast maritime vessel flows. Sensors (Switzerland) 20 (6) : 1761. ScholarBank@NUS Repository. https://doi.org/10.3390/s20061761 1424-8220 https://scholarbank.nus.edu.sg/handle/10635/196190 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ MDPI AG Scopus OA2020 |
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Deep learning Intelligent transportation systems Maritime vessel flows |
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Deep learning Intelligent transportation systems Maritime vessel flows Zhou, X. Liu, Z. Wang, F. Xie, Y. Zhang, X. Using deep learning to forecast maritime vessel flows |
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10.3390/s20061761 |
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CENTRE FOR MARITIME STUDIES |
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CENTRE FOR MARITIME STUDIES Zhou, X. Liu, Z. Wang, F. Xie, Y. Zhang, X. |
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Article |
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Zhou, X. Liu, Z. Wang, F. Xie, Y. Zhang, X. |
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Zhou, X. |
title |
Using deep learning to forecast maritime vessel flows |
title_short |
Using deep learning to forecast maritime vessel flows |
title_full |
Using deep learning to forecast maritime vessel flows |
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Using deep learning to forecast maritime vessel flows |
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Using deep learning to forecast maritime vessel flows |
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using deep learning to forecast maritime vessel flows |
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MDPI AG |
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2021 |
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https://scholarbank.nus.edu.sg/handle/10635/196190 |
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