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| Underwater Acoustic Research Trends with Machine Learning: General Background |
| Haesang Yang, Keunhwa Lee, Youngmin Choo, Kookhyun Kim |
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J. Ocean Eng. Technol.. 2020;34(2):147-154. Published online April 29, 2020 DOI: https://doi.org/10.26748/KSOE.2020.015 |
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Underwater Acoustic Research Trends with Machine Learning: General Background Journal of Ocean Engineering and Technology. 2020;34(2):147-154  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: Ocean Parameter Inversion Applications Journal of Ocean Engineering and Technology. 2020;34(5):371-376 Feature Extraction of Underwater Acoustic Signal Target Using Machine Learning Technique . 2022; Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications Journal of Ocean Engineering and Technology. 2020;34(4):277-284 A Novel Method for Classification and Modelling of Underwater Acoustic Communication through Machine Learning and Image Processing Technique . 2023; Research on Underwater Acoustic Location Algorithm Based on Multilayer Extreme Learning Machine 2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). 2019; Seafloor Habitat Mapping Using Machine Learning and Underwater Acoustic Sonar Computational Intelligence in Machine Learning. 2022;281-287 Machine Learning Based Classification and Modelling of Underwater Acoustic Communication OCEANS 2022 - Chennai. 2022; Performance Analysis of Underwater Acoustic Automatic Modulation Classification System with Machine Learning 2021 IEEE 21st International Conference on Communication Technology (ICCT). 2021; |
