Machine learning–based feature prediction of convergence zones in ocean front environments by Weishuai Xu, Lei Zhang, Hua Wang

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AB-LSTM: a mesoscale eddy feature prediction method based on an improved Conv-LSTM model by Xiaodong Ma, Lei Zhang, Weishuai Xu, Maolin Li

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Analysis of acoustic field characteristics of mesoscale eddies throughout their complete life cycle by Xiaodong Ma, Lei Zhang, Weishuai Xu, Maolin Li

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A mesoscale eddy reconstruction method based on generative adversarial networks by Xiaodong Ma, Lei Zhang, Weishuai Xu, Maolin Li, Xingyu Zhou

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The Parameterized Oceanic Front-Guided PIX2PIX Model: A Limited Data-Driven Approach to Oceanic Front Sound Speed Reconstruction by Weishuai Xu, Lei Zhang, Xiaodong Ma, Ming Li, Zhongshan Yao

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A Novel Mesoscale Eddy Identification Method Using Enhanced Interpolation and A Posteriori Guidance by Lei Zhang, Xiaodong Ma, Weishuai Xu, Xiang Wan, Qiyun Chen

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Data-Driven Analysis of Ocean Fronts’ Impact on Acoustic Propagation: Process Understanding and Machine Learning Applications, Focusing on the Kuroshio Extension Front by Weishuai Xu, Lei Zhang, Ming Li, Xiaodong Ma, Maolin Li

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A physics-informed machine learning approach for predicting acoustic convergence zone features from limited mesoscale eddy data by Weishuai Xu, Lei Zhang, Maolin Li, Xiaodong Ma, Hua Wang

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