Optimizing RF-Sensing for Drone Detection: The Synergy of Ensemble Learning and Sensor Fusion-Reference-Cited by-同舟云学术

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Optimizing RF-Sensing for Drone Detection: The Synergy of Ensemble Learning and Sensor Fusion

Published:2024-04-29 Issue: Volume: Page:308-314
ISSN:
Container-title:2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
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Author:

Tanveer Laiba¹,Alam Muhammad Zeshan²,Misbah Maham¹,Orakzai Farooq Alam¹,Alkhayyat Ahmed³,Kaleem Zeeshan¹

Affiliation:

1. COMSATS University Islamabad, Wah Campus, Pakistan,Electrical and Computer Engineering,Wah,Pakistan

2. Brandon University,Department of Computer Science,Canada Brandon,Canada

3. Islamic University,College of Engineering,Department of Computer Technical Engineering,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621442/10621052/10621565.pdf?arnumber=10621565

Reference22 articles.

1. On the Localization of Wireless Targets: A Drone Surveillance Perspective

2. GNSS forward scatter radar detection: Signal processing and experiment

3. Digital television based passive bistatic radar system for drone detection

4. Amateur Drone Monitoring: State-of-the-Art Architectures, Key Enabling Technologies, and Future Research Directions

5. SafeSpace MFNet: Precise and Efficient MultiFeature Drone Detection Network

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