GIT: A Transformer-Based Deep Learning Model for Geoacoustic Inversion
Geoacoustic inversion is a challenging task in marine research due to the complex environment and acoustic propagation mechanisms. With the rapid development of deep learning, various designs of neural networks have been proposed to solve this issue with satisfactory results. As a data-driven method...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2023-05-01
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| Schriftenreihe: | Journal of Marine Science and Engineering |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2077-1312/11/6/1108 |
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