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2026 Vol.45, Issue 4 Preview Page
31 July 2026. pp. 445-458
Abstract
References
1

R. A. McCarthy, Y. Zhang, S. A. Verburg, W. F. Jenkins, and P. Gerstoft, “Machine learning in acoustics: a review and open-source repository,” npj Acoust. 1, 18 (2025).

10.1038/s44384-025-00021-w
2

S. A. Verburg, E. Fernandez-Grande, and P. Gerstoft, “Differentiable physics for sound field reconstruction,” J. Acoust. Soc. Am. 158, 4059-4069 (2025).

10.1121/10.0039862
3

Y. Sun, L. Cheng, J. Li, and P. Gerstoft, “Hankel-FNO: Fast underwater acoustic charting via physics-encoded Fourier neural operator,” J. Acoust. Soc. Am. 158, 5075-5089 (2025).

10.1121/10.0041890
4

R. A. McCarthy, S. T. Merrifield, J. Sarkar, R. Bednar, A. Nager, C. Brooks, D. Ung, J. Donohoe, and E. J. Terrill, “Machine learning transmission loss predictions in acoustic field experiments,” IEEE J. Ocean. Eng. 50, 1668-1675 (2025).

10.1109/JOE.2024.3498007
5

I. K. Deo, A. Venkateshwaran, and R. K. Jaiman, “Predicting transmission loss in underwater acoustics using continual learning with range-dependent conditional convolutional neural networks,” J. Acoust. Soc. Am. 157, 3930-3945 (2025).

10.1121/10.0036773
6

H. Niu and P. Gerstoft, “Source localization in underwater waveguides using machine learning,” J. Acoust. Soc. Am. 140, 3232 (2016).

10.1121/1.4970220
7

J. A. Castro-Correa, M. Badiey, J. H. Giraldo, and F. D. Malliaros, “Semi-supervised graph learning for underwater source localization using ship-of-opportunity spectrograms,” J. Acoust. Soc. Am. 158, 1836-1848 (2025).

10.1121/10.0039042
8

Y. Liu, W. Zhang, J. Shi, P. Gerstoft, H. Niu, Q. Yu, and Z. Meng, “Bayesian optimization-tuned machine learning for underwater acoustic target localization,” J. Acoust. Soc. Am. 158, 4070-4086 (2025).

10.1121/10.0039891
9

M. Goldwater, D. P. Zitterbart, D. Wright, and J. Bonnel, “Machine-learning-based simultaneous detection and ranging of impulsive baleen whale vocalizations using a single hydrophone,” J. Acoust. Soc. Am. 153, 1094-1107 (2023).

10.1121/10.0017118
10

A. Vardi, P. H. Dahl, D. Dall’Osto, D. Knobles, P. Wilson, J. Leonard, and J. Bonnel, “Estimation of the spatial variability of the New England Mud Patch geoacoustic properties using a distributed array of hydrophones and deep learning,” J. Acoust. Soc. Am. 156, 4229-4241 (2024).

10.1121/10.0034707
11

A. Varon, J. Mars, and J. Bonnel, “Approximation of modal wavenumbers and group speeds in an oceanic waveguide using a neural network,” JASA Express Lett. 3, 066003 (2023).

10.1121/10.0019704
12

Z.-H. Michalopoulou and P. Gerstoft, “Inversion in an uncertain ocean using Gaussian processes,” J. Acoust. Soc. Am. 153, 1600-1611 (2023).

10.1121/10.0017437
13

J. Jin, P. Saha, N. Durofchalk, S. Mukhopadhyay, J. Romberg, and K. G. Sabra, “Machine learning approaches for ray-based ocean acoustic tomography,” J. Acoust. Soc. Am. 152, 3768-3788 (2022).

10.1121/10.0016498
14

S. Yoon, Y. Park, P. Gerstoft, and W. Seong, “Predicting ocean pressure field with a physics-informed neural network,” J. Acoust. Soc. Am. 155, 2037-2049 (2024).

10.1121/10.0025235
15

S. Yoon, Y. Park, K. Lee, and W. Seong, “Physics-informed neural networks in support of modal wavenumber estimation,” J. Acoust. Soc. Am. 156, 2275-2286 (2024).

10.1121/10.0030461
16

Y. Park, “Physics-informed machine learning for matched field source-range estimation,” J. Acoust. Soc. Am. 158, 4623-4636 (2025).

10.1121/10.0041850
17

F. B. Jensen, W. A. Kuperman, M. B. Porter, and H. Schmidt, Computational Ocean Acoustics (Springer, New York, 2011), pp. 65-153.

10.1007/978-1-4419-8678-8_2
18

H. C. Song and G. Byun, “Extrapolating Green’s functions using the waveguide invariant theory,” J. Acoust. Soc. Am. 147, 2150-2158 (2020).

10.1121/10.0000969
19

M. B. Porter, “The KRAKEN Normal mode program,” SACLANTCEN., Tech. Rep., 1991.

Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 45
  • No :4
  • Pages :445-458
  • Received Date : 2026-06-04
  • Revised Date : 2026-07-03
  • Accepted Date : 2026-07-06