Sensor-Oriented Framework for Underwater Acoustic Signal Classification Using EMD–Wavelet Filtering and Bayesian-Optimized Random Forest
- DOI
- 10.3390/s25175336
- Published
- 2025-08-28
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s25175336,
title = {Sensor-Oriented Framework for Underwater Acoustic Signal Classification Using EMD–Wavelet Filtering and Bayesian-Optimized Random Forest},
author = {Sergii Babichev and Oleg Yarema and Yevheniy Khomenko and Denys Senchyshen and Bohdan Durnyak},
year = {2025},
journal = {Sensors},
doi = {10.3390/s25175336},
url = {https://doi.org/10.3390/s25175336}
}RIS
TY - JOUR TI - Sensor-Oriented Framework for Underwater Acoustic Signal Classification Using EMD–Wavelet Filtering and Bayesian-Optimized Random Forest AU - Sergii Babichev AU - Oleg Yarema AU - Yevheniy Khomenko AU - Denys Senchyshen AU - Bohdan Durnyak PY - 2025 JO - Sensors DO - 10.3390/s25175336 UR - https://doi.org/10.3390/s25175336 ER -
APA
Babichev, S., Yarema, O., Khomenko, Y., Senchyshen, D., & Durnyak, B. (2025). Sensor-Oriented Framework for Underwater Acoustic Signal Classification Using EMD–Wavelet Filtering and Bayesian-Optimized Random Forest. Sensors. https://doi.org/10.3390/s25175336
Source records
- crossref · retrieved 2026-11-10T07:12:18.205Z