Effective underwater acoustic target passive localization of using a multi-task learning model with attention mechanism: Analysis and comparison under real sea trial datasets-Reference-Cited by-同舟云学术

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Effective underwater acoustic target passive localization of using a multi-task learning model with attention mechanism: Analysis and comparison under real sea trial datasets

Published:2024-09 Issue: Volume:150 Page:104072
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

He Jiawen,Zhang Bin,Liu Peishun,Li Xiaolei,Wang Liang,Tang Ruichun^ORCID

Publisher

Elsevier BV

Reference62 articles.

1. Enhanced target localization with deployable multiplatform radar nodes based on non-convex constrained least squares optimization;Aubry;IEEE Trans. Signal Process.,2022

2. MuIT: An end-to-end multitask learning transformer;Bhattacharjee,2022

3. A general survey on attention mechanisms in deep learning;Brauwers;IEEe Trans. Knowl. Data Eng.,2023

4. Frequency diversity based underwater acoustic passive localization;Cao;IEEe Internet. Things. J.,2022

5. Multitask learning;Caruana;Mach. Learn.,1997

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1. Legal Challenges and Responses to Artificial Intelligence-Assisted Decision-Making in the International Economic Law System;Applied Mathematics and Nonlinear Sciences;2024-01-01

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