Author

O. Bezsonov

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Review Open access Aug 2026

ПОКРАЩЕННЯ КЛАСИФІКАЦІЇ БПЛА ЗА РАДІОЧАСТОТНИМИ СИГНАЛАМИ ЗА ДОПОМОГОЮ ГІБРИДНОЇ ЗГОРТКОВО-РЕКУРЕНТНОЇ АРХІТЕКТУРИ

This research aims to automate the classification of small UAVs using radio frequency signals. The object of this research is to classify UAVs by radio frequency signature using combined machine learning models. It focuses on a combination of machine learning-based models to achieve better classification results when e...

Oleksii Shevchenko, O. Bezsonov, O. Rudenko · RADIOELECTRONIC AND COMPUTER... · 0 citations

Review

ENHANCING UAV CLASSIFICATION WITH RADIO FREQUENCY SIGNALS USING A HYBRID CONVOLUTIONAL-LSTM ARCHITECTURE

This study confirms that the proposed CNN-LSTM model is efficient at classifying UAV radio-frequency signals and has great potential for practical applications.

Oleksii Shevchenko, O. Bezsonov, O. Rudenko · 0 citations