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Deep Learning-Driven Vector Acoustic Field Inversion by Xiaoman Li at Abbey's Bookshop,
Deep Learning-Driven Vector Acoustic Field Inversion
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Xiaoman Li

Deep Learning-Driven Vector Acoustic Field Inversion

Xiaoman Li

$251.95   $201.81

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English
Scholars' Press
22 October 2025
Classical mechanics
This monograph presents a deep learning framework for seabed characterization by fusing vector acoustic field physics with neural networks. It introduces Stokes parameters from vector hydrophones as robust features for geoacoustic inversion, and develops specialized networks (BP, MTL-TCN, U-Net + ATT-BP) to estimate sediment parameters and extract dispersion curves. Validated in the Yellow Sea, the method achieves core-comparable accuracy in minutes, significantly outperforming traditional techniques in speed and robustness. The work highlights the synergy between physical principles and data-driven learning, offering a scalable solution for real-time seabed mapping and advancing autonomous ocean sensing.
By:  
Imprint:   Scholars' Press
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 17mm
Weight:   399g
ISBN:   9786209141508
ISBN 10:   6209141501
Pages:   296
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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