Deep Spectrogram Learning for Gunshot Classification: A Comparative Study of CNN Architectures and Time-Frequency Representations

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Bibliographische Detailangaben
Veröffentlicht in:	Journal of Imaging vol. 11, no. 8 (2025), p. 281-307
1. Verfasser:	Pafan, Doungpaisan
Weitere Verfasser:	Peerapol, Khunarsa
Veröffentlicht:	MDPI AG
Schlagworte:	United States > US Accuracy Datasets Deep learning Wavelet transforms Law enforcement Color imagery Racial profiling Artificial neural networks Audio recordings Public safety Small arms Computer vision Automation Machine learning Image processing Representations Pattern recognition Sound Comparative studies Artificial intelligence Fourier transforms Spectrograms Time-frequency analysis Neural networks Classification Image classification Surveillance Gun violence Acoustics Murders & murder attempts Surveillance systems
Online-Zugang:	Citation/Abstract Full Text + Graphics Full Text - PDF
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