An Explainable Multi-Task Learning Approach for RF-based UAV Surveillance Systems-Reference-Cited by-同舟云学术

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An Explainable Multi-Task Learning Approach for RF-based UAV Surveillance Systems

Published:2022-07-05 Issue: Volume: Page:
ISSN:
Container-title:2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)
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Author:

Akter Rubina¹,Doan Van-Sang²,Zainudin Ahmad³,Kim Dong-Seong⁴

Affiliation:

1. Kumoh National Institute of Technology,Networked Systems Laboratory,Gumi,South Korea

2. Vietnam Naval Academy,Department of Communication and Radar,Nhatrang,Vietnam

3. Kumoh National Institute of Technology,Department of Electronic Engineering,Gumi,South Korea

4. Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9829530/9829531/09829629.pdf?arnumber=9829629

Reference22 articles.

1. Drone classification and identification system by phenome analysis using data mining techniques

2. IoMT-Net: Blockchain-Integrated Unauthorized UAV Localization Using Lightweight Convolution Neural Network for Internet of Military Things

3. RFDOA-Net: An Efficient ConvNet for RF-Based DOA Estimation in UAV Surveillance Systems

4. Drone Detection and Identification by Using Packet Length Signature

5. Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach

Cited by 4 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. UAV IoT Sensing and Networking;Drones;2024-09-07

2. Multitask Learning for Radar-Based Characterization of Drones;2023 IEEE International Radar Conference (RADAR);2023-11-06

3. Accurate RF-sensing of complex gestures using RFID with variable phase-profiles;2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE);2023-06-19

4. An Extreme Value Theory-based Approach for Reliable Drone RF Signal Identification;IEEE Transactions on Cognitive Communications and Networking;2023

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