Sensor-Oriented Framework for Underwater Acoustic Signal Classification Using EMD–Wavelet Filtering and Bayesian-Optimized Random Forest

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Publicado no:	Sensors vol. 25, no. 17 (2025), p. 5336-5356
Autor principal:	Babichev Sergii
Outros Autores:	Yarema Oleg, Khomenko Yevheniy, Senchyshen Denys, Durnyak Bohdan
Publicado em:	MDPI AG
Assuntos:	Machine learning Accuracy Datasets Deep learning Maritime industry Fourier transforms Signal to noise ratio Optimization techniques Real time Neural networks Signal processing Classification Algorithms Automation Acoustics Statistical methods
Acesso em linha:	Citation/Abstract Full Text + Graphics Full Text - PDF
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