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

Babichev S, Yarema O, Khomenko Y, Senchyshen D, Durnyak B

Open source

DOI
10.3390/s25175336
Published
2025 Aug 28
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

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