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Machine-Learning-Based Classification of Frequency Hopping in Radio Networks for Communication Reconnaissance Cover

Machine-Learning-Based Classification of Frequency Hopping in Radio Networks for Communication Reconnaissance

International conference KNOWLEDGE-BASED ORGANIZATION
Volume 29 (2023): Issue 3 (June 2023)
By: Annamaria Sârbu,  Mirela Șorecău,  Emil Șorecău and  Paul Bechet  
Open Access
|Jul 2023

Authors

Annamaria Sârbu

sarbu.annamaria@armyacademy.ro

“Nicolae Bălcescu” Land Forces Academy, Sibiu, Romania

Mirela Șorecău

mirela.doicin@gmail.com

Technical University of Cluj-Napoca, Cluj-Napoca, Romania
“Nicolae Bălcescu” Land Forces Academy, Sibiu, Romania

Emil Șorecău

emil.sorecau@gmail.com

Technical University of Cluj-Napoca, Cluj-Napoca, Romania
“Nicolae Bălcescu” Land Forces Academy, Sibiu, Romania

Paul Bechet

pbechet@gmail.com

“Nicolae Bălcescu” Land Forces Academy, Sibiu, Romania
DOI: https://doi.org/10.2478/kbo-2023-0079 | Journal eISSN: 2451-3113
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Language: English
Page range: 78 - 84
Published on: Jul 19, 2023
Published by: Nicolae Balcescu Land Forces Academy
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year
Keywords:
machine learning,
frequency hopping,
communication reconnaissance
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance,
Engineering,
Introductions and overviews,
Engineering, other,
Law,
Law, other,
Social sciences,
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Military policy

© 2023 Annamaria Sârbu, Mirela Șorecău, Emil Șorecău, Paul Bechet, published by Nicolae Balcescu Land Forces Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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