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

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Bibliografske podrobnosti
izdano v:	Sensors vol. 25, no. 17 (2025), p. 5336-5356
Glavni avtor:	Babichev Sergii
Drugi avtorji:	Yarema Oleg, Khomenko Yevheniy, Senchyshen Denys, Durnyak Bohdan
Izdano:	MDPI AG
Teme:	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
Online dostop:	Citation/Abstract Full Text + Graphics Full Text - PDF
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