Deep transfer learning for source ranging: Deep-sea experiment results-Reference-Cited by-同舟云学术

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Deep transfer learning for source ranging: Deep-sea experiment results

Published:2019-10 Issue:4 Volume:146 Page:EL317-EL322
ISSN:0001-4966
Container-title:The Journal of the Acoustical Society of America
language:en
Short-container-title:The Journal of the Acoustical Society of America

Author:

Wang Wenbo¹,Ni Haiyan¹,Su Lin¹,Hu Tao¹,Ren Qunyan¹,Gerstoft Peter²,Ma Li¹

Affiliation:

1. Key Laboratory of Underwater Acoustic Environment, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China

2. Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093-0238, USA, , , , , ,

Publisher

Acoustical Society of America (ASA)

Subject

Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)

Link

http://asa.scitation.org/doi/pdf/10.1121/1.5126923

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1. An Underwater Wideband Sound Source Localization Method Based on Light Neural Network Structure;IEEE Sensors Journal;2024-07-01

2. A Deep Learning Localization Method for Acoustic Source via Improved Input Features and Network Structure;Remote Sensing;2024-04-14

3. Advancing autonomy through lifelong learning: a survey of autonomous intelligent systems;Frontiers in Neurorobotics;2024-04-05

4. Source depth estimation with feature matching using convolutional neural networks in shallow water;The Journal of the Acoustical Society of America;2024-02-01

5. Deep unsupervised adversarial domain adaptation for underwater source range estimation;The Journal of the Acoustical Society of America;2023-11-01

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