Amateur Drones Detection: A machine learning approach utilizing the acoustic signals in the presence of strong interference-Reference-Cited by-同舟云学术

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Amateur Drones Detection: A machine learning approach utilizing the acoustic signals in the presence of strong interference

Published:2020-03 Issue: Volume:154 Page:236-245
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Uddin Zahoor,Altaf Muhammad,Bilal Muhammad,Nkenyereye Lewis,Bashir Ali Kashif

Funder

National Research Foundation of Korea

Hankuk University of Foreign Studies

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference51 articles.

1. Stochastic geometry study on device-to-device communication as a disaster relief solution;Al-Hourani;IEEE Trans. Veh. Technol.,2016

2. Public safety priority-based user association for load balancing and interference reduction in PS-LTE systems;Kaleem;IEEE Access,2016

3. A dynamic trajectory control algorithm for improving the communication throughput and delay in UAV-aided networks;Fadlullah;IEEE Netw.,2016

4. Coverage and rate analysis of aerial base stations;Akram;IEEE Trans. Aerosp. Electron. Syst.,2016

5. Drone-assisted public safety networks: The security aspect;He;IEEE Commun. Mag.,2017

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