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Acoustic Classification of Surface and Underwater Vessels in the Ocean Using Supervised Machine Learning
Four data-driven methods—random forest (RF), support vector machine (SVM), feed-forward neural network (FNN), and convolutional neural network (CNN)—are applied to discriminate surface and underwater vessels in the ocean using low-frequency acoustic pressure data. Acoustic data are modeled consideri...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721123/ https://www.ncbi.nlm.nih.gov/pubmed/31404999 http://dx.doi.org/10.3390/s19163492 |