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| Underwater Acoustic Research Trends with Machine Learning: Ocean Parameter Inversion Applications |
| Haesang Yang, Keunhwa Lee, Youngmin Choo, Kookhyun Kim |
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J. Ocean Eng. Technol.. 2020;34(5):371-376. Published online August 4, 2020 DOI: https://doi.org/10.26748/KSOE.2020.016 |
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Underwater Acoustic Research Trends with Machine Learning: Ocean Parameter Inversion Applications Journal of Ocean Engineering and Technology. 2020;34(5):371-376  Underwater Acoustic Research Trends with Machine Learning: Passive SONAR Applications Journal of Ocean Engineering and Technology. 2020;34(3):227-236 Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications Journal of Ocean Engineering and Technology. 2020;34(4):277-284 Underwater Acoustic Research Trends with Machine Learning: General Background Journal of Ocean Engineering and Technology. 2020;34(2):147-154 Underwater acoustic system analysis Applied Ocean Research. 1984;6(2):124 Acoustic Classification of Surface and Underwater Vessels in the Ocean Using Supervised Machine Learning Sensors. 2019;19(16):3492 Research on Bayesian Seabed Acoustic Parameter Inversion Method Based on Parallel Tempering Algorithm 2021 OES China Ocean Acoustics (COA). 2021; Discrete Events and Finite State Machine Based Program Architecture for Underwater Acoustic Communication Network Simulation 2021 OES China Ocean Acoustics (COA). 2021; Underwater Acoustic Encyclopedia of Ocean Engineering. 2022;2042-2042 Ocean Acoustic Propagation Modeling Using Scientific Machine Learning OCEANS 2021: San Diego – Porto. 2021; |
