Daily Ship Traffic Volume Statistics and Prediction Based on Automatic Identification System Data-Reference-Cited by-同舟云学术

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Daily Ship Traffic Volume Statistics and Prediction Based on Automatic Identification System Data

Published:2017-08 Issue: Volume: Page:
ISSN:
Container-title:2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
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Author:

Wang Sainan,Wang Si,Gao Suixiang,Yang Wenguo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8046763/8047731/08048133.pdf?arnumber=8048133

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction;Engineering Applications of Artificial Intelligence;2024-07

2. Analysing the Effects of Weather Conditions on Container Terminal Operations Using Machine Learning;International Journal of Business Analytics;2022-04-04

3. Emerging approaches applied to maritime transport research: Past and future;Communications in Transportation Research;2021-12

4. Assortative Analysis of Bulk Trade Complex Network on Maritime Silk Road;IEEE Access;2020

5. Real-Time Communication Alert System for Missing Vessels in Deep Sea;Applied Soft Computing and Communication Networks;2020

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