Federated Deep Learning-Based Framework to Avoid Collisions Between Inland Ships-Reference-Cited by-同舟云学术

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

Published:2022-05-30 Issue: Volume: Page:
ISSN:
Container-title:2022 International Wireless Communications and Mobile Computing (IWCMC)
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Author:

Hammedi Wided¹,Brik Bouziane¹,Senouci Sidi Mohammed¹

Affiliation:

1. Univ. Bourgogne Franche Comté,DRIVE Laboratory EA1859,Nevers,France,F58000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823957/9824097/09825393.pdf?arnumber=9825393

Reference25 articles.

1. An intelligent real-time multi-vessel collision risk assessment system from VTS view point based on fuzzy inference system

2. A method of determining and visualizing safe motion parameters of a ship navigating in restricted waters

3. A Voronoi-diagram-based dynamic path-planning system for underactuated marine vessels

4. Toward Optimal MEC Resource Dimensioning for a Vehicle Collision Avoidance System: A Deep Learning Approach

5. Fog-supported Low Latency Monitoring of System Disruptions in Industry 4.0: A Federated Learning Approach;messaadia;ACM Trans Cyber-Phys Syst Just Accepted,2021

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