A Survey of Deep/Machine Learning in Maritime Communications-Reference-Cited by-同舟云学术

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A Survey of Deep/Machine Learning in Maritime Communications

Published:2023-07-04 Issue: Volume: Page:
ISSN:
Container-title:2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)
language:
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Author:

Sinha Shrutika¹,Kwon Soo Yeon²,Park Soo Hyun³

Affiliation:

1. Kookmin University,Department of Financial Information Security,Seoul,South Korea

2. Korea Maritime Transportation Safety Authority (KOMSA),Innovation/Fishing Vessel Research Department,Sejong,South Korea

3. Kookmin University,College of Computer Science,Seoul,South Korea

Funder

Ministry of Oceans and Fisheries

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199107/10199171/10199678.pdf?arnumber=10199678

Reference15 articles.

1. Federated Deep Learning-Based Framework to Avoid Collisions Between Inland Ships

2. An Overview on Position Location: Past, Present, Future

3. A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

4. Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things

5. A resource friendly authentication scheme for space–air–ground–sea integrated Maritime Communication Network

Cited by 1 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. Research and Simulation of Satellite Communication Channel for Ship Rolling in Sea Waves;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

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