Prediction Model of Ship Arrival Time using Neural Network and Kalman Filter-Reference-Cited by-同舟云学术

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Prediction Model of Ship Arrival Time using Neural Network and Kalman Filter

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)
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Author:

Zhang Xinyan¹,Zhang Xining¹,Li Pu¹

Affiliation:

1. School of Computer Science, Wuhan University,Wuhan,Hubei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10105556/10105661/10105708.pdf?arnumber=10105708

Reference16 articles.

1. Research on Ship Arrival Law Based on Route Matching and Deep Learning 2021 C;pan;Journal of Physics Conference Series,0

2. Prediction of Arrival Time of Vessels Considering Future Weather Conditions 2021;takahiro;J Applied Sciences,0

3. Prediction of Bus Travel Time over Intervals between Pairs of Adjacent Bus Stops Using City Bus Probe Data 2021;kawatani;Int J Intell Transp Syst Res,0

4. Predicting irregularities in arrival times for transit buses with recurrent neural networks using GPS coordinates and weather data

5. Estimated Time of Arrival Using Historical Vessel Tracking Data 2018;alessandrini;IEEE Transactions on Intelligent Transportation Systems,0

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1. Spatial-temporal Attention-Based Time Series Prediction Network for Lithium Battery Remaining Useful Life Estimation;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

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