Obstacle segmentation based on the wave equation and deep learning

A Kahana, E Turkel, S Dekel, D Givoli - Journal of Computational Physics, 2020 - Elsevier
We model the inverse physical problem of identifying an underwater obstacle by using the
acoustic wave equation. Measurements are collected in a set of sensors placed in the …

Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning

O Ovadia, A Kahana, E Turkel, S Dekel - Journal of Computational Physics, 2021 - Elsevier
We investigate a numerical method for approximating the solution of the one dimensional
acoustic wave problem, when violating the numerical stability condition. We use deep …

A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data

A Kahana, E Turkel, S Dekel, D Givoli - Journal of Computational Physics, 2022 - Elsevier
We approximate the underwater acoustic wave problem for locating sources in that medium.
We create a time dependent synthetic data-set of sensor recorded pressures, based on a …

A Boundary Element Method for Acoustic Problems in Relative Motion Between Source and Fluid

R Sun, H Wu, W Jiang, L Ji, D Li - Journal of Theoretical and …, 2024 - World Scientific
To calculate the acoustic problems of relative uniform motion between the acoustic source
and the fluid, we propose a boundary element method (BEM) strategy that can calculate …