Model-based convolutional neural network approach to underwater source-range estimation
Author:
Affiliation:
1. Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
Funder
Office of Naval Research
National Science Foundation
Publisher
Acoustical Society of America (ASA)
Subject
Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)
Link
https://asa.scitation.org/doi/am-pdf/10.1121/10.0003329
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