Development Of A Vision- based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning-Reference-Cited by-同舟云学术

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Development Of A Vision- based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning

Published:2024-02-17 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Ghazlane Yasmine¹²^ORCID,Gmira Maha¹,Medromi Hicham²³

Affiliation:

1. School of Digital Engineering and Artificial Intelligence, Euromed Research Center, Euromed University, Fes, Morocco

2. Research Foundation for Development and Innovation in Science and Engineering (FRDISI), Casablanca, Morocco

3. National Higher School of Electricity and Mechanic (ENSEM), Hassan II University, Casablanca, Morocco

Funder

no funds

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318672

Reference69 articles.

1. Slicing Aided Hyper Inference and Fine-Tuning for Small Object Detection

2. Machine Learning vs. Human Performance in the Realtime Acoustic Detection of Drones

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

4. RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database

5. Dogfight: Detecting drones from drones videos;Ashraf M. W.;arXiv,2021

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