Deep Learning and Blockchain with Edge Computing for 5G-Enabled Drone Identification and Flight Mode Detection-Reference-Cited by-同舟云学术

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Deep Learning and Blockchain with Edge Computing for 5G-Enabled Drone Identification and Flight Mode Detection

Published:2021-01 Issue:1 Volume:35 Page:94-100
ISSN:0890-8044
Container-title:IEEE Network
language:
Short-container-title:IEEE Network

Author:

Gumaei Abdu,Al-Rakhami Mabrook,Hassan Mohammad Mehedi,Pace Pasquale,Alai Gianluca,Lin Kai,Fortino Giancarlo

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://xplorestaging.ieee.org/ielx7/65/9354913/09355069.pdf?arnumber=9355069

Cited by 50 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. Exploring the integration of edge computing and blockchain IoT: Principles, architectures, security, and applications;Journal of Network and Computer Applications;2024-06

2. Beyond Flight: Enhancing the Internet of Drones with Blockchain Technologies;Drones;2024-05-26

3. The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review;Cognitive Computation;2024-05-01

4. Advancing Drone Operations through Lightweight Blockchain and Fog Computing Integration: A Systematic Review;Drones;2024-04-16

5. A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions;Remote Sensing;2024-03-01

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