Detecting UAV Presence Using Convolution Feature Vectors in Light Gradient Boosting Machine

Author:

Raina Kushagra1,Alladi Tejasvi2ORCID,Chamola Vinay3ORCID,Yu Fei Richard4ORCID

Affiliation:

1. Artificial Intelligence at Cardiff University, Cardiff, U.K.

2. Department of Computer Science and Information Systems, BITS-Pilani, Pilani Campus, India

3. Department of Electrical and Electronics Engineering & APPCAIR, BITS- Pilani, Pilani Campus, India

4. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

Funder

SICI SICRG through the Project Artificial Intelligence Enabled Security Provisioning and Vehicular Vision Innovations for Autonomous Vehicles

Government of Canada through National Crime Prevention Strategy and Natural Sciences and Engineering Research Council of Canada

CREATE Program for Building Trust in Connected and Autonomous Vehicles

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 6 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. On the Accuracy and Efficiency of Received Signal Strength Modelling for a Forest Environment;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

2. VGGish transfer learning model for the efficient detection of payload weight of drones using Mel-spectrogram analysis;Neural Computing and Applications;2024-04-23

3. Modeling Received Power from 4G and 5G Networks in Greece U sing Machine Learning;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17

4. Determination of UAV propellers speed with FMCW Radar: comparison with accelerometer data;2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense);2023-11-20

5. A Two-Dimensional Deep Network for RF-based Drone Detection and Identification Towards Secure Coverage Extension;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

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