Development of a classification model for UAVs and birds based on the YOLOv9 neural network to improve anti-drone systems | Adilbekov | Vestnik of M. Kozybayev North Kazakhstan University

Vestnik of M. Kozybayev North Kazakhstan University
Vestnik Severo-Kazahstanskogo universiteta imeni Manaša Kozybaeva

ISSN 2958-003X (Print)
ISSN 2958-0048 (Online)

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Adilbekov А.E., Semenyuk V.V., Proselkov А.V. Development of a classification model for UAVs and birds based on the YOLOv9 neural network to improve anti-drone systems. Vestnik of M. Kozybayev North Kazakhstan University. 2025;(2 (66)):175-183. https://doi.org/10.54596/2958-0048-2025-2-175-183

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ISSN 2958-003X (Print)
ISSN 2958-0048 (Online)

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About the Authors

А. E. Adilbekov
Manash Kozybayev North Kazakhstan University NPLC
Kazakhstan

Сorresponding author, doctoral student, master of technical sciences, senior lecturer of the department of Energetic and Radioelectronics

Petropavlovsk

V. V. Semenyuk
Manash Kozybayev North Kazakhstan University NPLC
Kazakhstan

Мaster of technical sciences, senior lecturer of the Project office

Petropavlovsk

А. V. Proselkov
Manash Kozybayev North Kazakhstan University NPLC
Kazakhstan

Мaster of technical sciences, specialist, Office of reception and recruitment

Petropavlovsk

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