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Underwater Acoustic Research Trends with Machine Learning: Ocean Parameter Inversion Applications |
Haesang Yang, Keunhwa Lee, Youngmin Choo, Kookhyun Kim |
J. Ocean Eng. Technol.. 2020;34(5):371-376. Published online August 4, 2020 DOI: https://doi.org/10.26748/KSOE.2020.016 |
Underwater Acoustic Research Trends with Machine Learning: Ocean Parameter Inversion Applications Underwater Acoustic Research Trends with Machine Learning: Passive SONAR Applications Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications Underwater Acoustic Research Trends with Machine Learning: General Background Underwater acoustic system analysis Acoustic Classification of Surface and Underwater Vessels in the Ocean Using Supervised Machine Learning Research on Bayesian Seabed Acoustic Parameter Inversion Method Based on Parallel Tempering Algorithm Discrete Events and Finite State Machine Based Program Architecture for Underwater Acoustic Communication Network Simulation Underwater Acoustic Ocean Acoustic Propagation Modeling Using Scientific Machine Learning |