Sensor-Oriented Framework for Underwater Acoustic Signal Classification Using EMD-Wavelet Filtering and Bayesian-Optimized Random Forest.
- DOI
- 10.3390/s25175336
- Published
- 2025 Aug 28
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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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 = {Babichev S and Yarema O and Khomenko Y and Senchyshen D and Durnyak B},
year = {2025},
journal = {Sensors (Basel, Switzerland)},
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 - Babichev S AU - Yarema O AU - Khomenko Y AU - Senchyshen D AU - Durnyak B PY - 2025 JO - Sensors (Basel, Switzerland) DO - 10.3390/s25175336 UR - https://doi.org/10.3390/s25175336 ER -
APA
S, B., O, Y., Y, K., D, S., & B, D. (2025). Sensor-Oriented Framework for Underwater Acoustic Signal Classification Using EMD-Wavelet Filtering and Bayesian-Optimized Random Forest.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25175336
Source records
- pubmed · retrieved 2026-09-24T21:48:15.657Z
- europe-pmc · retrieved 2026-09-24T21:48:15.677Z
- doaj · retrieved 2026-09-24T21:48:15.676Z