Semenyuk, V.; Kurmashev, I.; Alyoshin, D.; Kurmasheva, L.; Serbin, V.; Cantelli-Forti, A.
Study of the Possibility to Combine Deep Learning Neural Networks for Recognition of Unmanned Aerial Vehicles in Optoelectronic Surveillance Channels. Modelling 2024, 5, 1773-1788.
https://doi.org/10.3390/modelling5040092
AMA Style
Semenyuk V, Kurmashev I, Alyoshin D, Kurmasheva L, Serbin V, Cantelli-Forti A.
Study of the Possibility to Combine Deep Learning Neural Networks for Recognition of Unmanned Aerial Vehicles in Optoelectronic Surveillance Channels. Modelling. 2024; 5(4):1773-1788.
https://doi.org/10.3390/modelling5040092
Chicago/Turabian Style
Semenyuk, Vladislav, Ildar Kurmashev, Dmitriy Alyoshin, Liliya Kurmasheva, Vasiliy Serbin, and Alessandro Cantelli-Forti.
2024. "Study of the Possibility to Combine Deep Learning Neural Networks for Recognition of Unmanned Aerial Vehicles in Optoelectronic Surveillance Channels" Modelling 5, no. 4: 1773-1788.
https://doi.org/10.3390/modelling5040092
APA Style
Semenyuk, V., Kurmashev, I., Alyoshin, D., Kurmasheva, L., Serbin, V., & Cantelli-Forti, A.
(2024). Study of the Possibility to Combine Deep Learning Neural Networks for Recognition of Unmanned Aerial Vehicles in Optoelectronic Surveillance Channels. Modelling, 5(4), 1773-1788.
https://doi.org/10.3390/modelling5040092
