Exploring the inverse line-source scattering problem in dielectric cylinders with deep neural networks

N Pallikarakis, A Kalogeropoulos, NL Tsitsas - Physica Scripta, 2024 - iopscience.iop.org
This study presents a novel approach utilizing deep neural networks to address the inverse
line-source scattering problem in dielectric cylinders. By employing Multi-layer Perceptron …

A circular microphone array with virtual microphones based on acoustics-informed neural networks

S Zhao, F Ma - arXiv preprint arXiv:2402.15735, 2024 - arxiv.org
Acoustic beamforming aims to focus acoustic signals to a specific direction and suppress
undesirable interferences from other directions. Despite its flexibility and steerability …

Synthetic Aperture Imaging Using Physically Informed Convolutional Neural Networks

S Papadimitropoulos, C Tsogka… - 2024 IEEE Conference …, 2024 - ieeexplore.ieee.org
We propose a physically informed neural network (PINN) approach to address the problem
of locating scatterers using synthetic aperture radar (SAR). The proposed approach uses the …