A Hybrid Prediction Model Based on KNN-LSTM for Vessel Trajectory
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- Haotian Cui & Fangwei Zhang & Mingjie Li & Yang Cui & Rui Wang, 2022. "A Novel Driving-Strategy Generating Method of Collision Avoidance for Unmanned Ships Based on Extensive-Form Game Model with Fuzzy Credibility Numbers," Mathematics, MDPI, vol. 10(18), pages 1-14, September.
- Cheng-Hong Yang & Guan-Cheng Lin & Chih-Hsien Wu & Yen-Hsien Liu & Yi-Chuan Wang & Kuo-Chang Chen, 2022. "Deep Learning for Vessel Trajectory Prediction Using Clustered AIS Data," Mathematics, MDPI, vol. 10(16), pages 1-19, August.
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- Qiu, Tao & Li, Ning & Lei, Yan & Sang, Hailang & Ma, Xuejian & Liu, Zedu, 2024. "Research on the method of diesel particulate filters carbon load recognition based on deep learning," Energy, Elsevier, vol. 292(C).
- Li, Huanhuan & Xing, Wenbin & Jiao, Hang & Yang, Zaili & Li, Yan, 2024. "Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
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Keywords
LSTM neural network; KNN; trajectory prediction; automatic recognition system; sea area division;All these keywords.
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