From the 1 of 4 linked papers with an AI index.
4 papers
A novel sampling method for reconstruction of a moving point acoustic source in
Guanqiu Ma, Shuang Li, Hongxia Guo
The paper proposes a new sampling technique that recovers the 3‑D trajectory and emission times of a moving acoustic point source using data from only five observation points, offe…
DDC-PINNs: A Predictor-Corrector Approach Based on Neural Network-Driven Domain Decomposition and Classical ODE Solvers for Time-Dependent PDEs
Xun Yang, Guanqiu Ma, Maohua Ran
When solving time-dependent partial differential equations (PDEs), traditional physics-informed neural networks (PINNs) may encounter several challenges. In particular, standard PI…
A frequency-domain method to inverse moving source problem with unknown radiating moment
Guanqiu Ma, Hongxia Guo, Guanghui Hu
This paper introduces a multi-frequency factorization method for imaging a time-dependent source, specifically to recover its spatial support and the associated excitation instants…
Imaging a moving point source in R^3 from the time of arrival at sparse observation points
Guanqiu Ma, Haonan Zhang, Hongxia Guo
In this paper, we introduce a novel numerical method for reconstructing the trajectory within three-dimensional space, where both the emission moment and spatial location of the po…