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ITI əməkdaslarının elmi isləri Elektron kitabxana Konfranslar İnformasiya Sistemi Qəzetlər UOT 004
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ITI əməkdaşlarının elmi işləri - tezis


 Biblioqrafik təsvir
 Abdullayeva , F.D. Develoment of acoustic system for detection of drones based on ensembles of audio features / F.D. Abdullayeva // XVI Международная научно-техническая конференция "Оптико- электронные приборы и устройства в системах распознавания образов , обработки и изображений (Распознавание-2021)". - Kursk, 2021. - P. 14-16.
 Annotasiya
 One of the methods of detecting drones is the analysis of audio signals.In this case, spectral features were sxtracted from sound files by analyzing audio data.The Simple Neural Network Model (Simple NN) and the Convolutional Neural Network Model (CNN) were built to classify the extracted audio features. As a resuli of experiments on real data, the Simple Neural Network showed superior results and achieved 98% detection accuracy.
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