INVESTIGATION OF DEEP LEARNING MODELS BASED ON SINGLE-LAYER SimpleRNN, LSTM AND GRU NETWORKS FOR RECOGNIZING SOUNDS OF UAV DISTANCES

INVESTIGATION OF DEEP LEARNING MODELS BASED ON SINGLE-LAYER SimpleRNN, LSTM AND GRU NETWORKS FOR RECOGNIZING SOUNDS OF UAV DISTANCES

In recent years, the potential risks posed by easily moving objects have highlighted the need for intelligent surveillance systems in protected areas, primarily to ensure the safety of human lives. Among the most common of these objects are unmanned aerial vehicles (UAVs). Recent advances in deep le...

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Bibliographic Details
Main Authors: Dana Utebayeva, Lyazzat Ilipbayeva
Format: Article
Language:English
Published: Astana IT University 2024-09-01
Series:Scientific Journal of Astana IT University
Subjects:
uavs
uav states
uav sound recognition
uav sound distance recognition
suspicious drone
simplernn network
lstm network
gru network
Online Access:https://journal.astanait.edu.kz/index.php/ojs/article/view/614
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