Inverse Electromagnetic Scattering for Doubly-Connected Cylinders using Convolutional Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Mindrinos, Leonidas, Pallikarakis, Nikolaos, Tsitsas, Nikolaos L |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A direct sampling method for magnetic induction tomography
by: Chen, Junqing, et al.
Published: (2026)
by: Chen, Junqing, et al.
Published: (2026)
Data Completion for Electrical Impedance Tomography by Conditional Diffusion Models
by: Chen, Ke, et al.
Published: (2026)
by: Chen, Ke, et al.
Published: (2026)
The learned range test method for the inverse inclusion problem
by: Sun, Shiwei, et al.
Published: (2024)
by: Sun, Shiwei, et al.
Published: (2024)
A Model-Consistent Data-Driven Computational Strategy for PDE Joint Inversion Problems
by: Ren, Kui, et al.
Published: (2022)
by: Ren, Kui, et al.
Published: (2022)
A Deep Learning-Enhanced Fourier Method for the Multi-Frequency Inverse Source Problem with Sparse Far-Field Data
by: Chen, Hao, et al.
Published: (2026)
by: Chen, Hao, et al.
Published: (2026)
The inverse electromagnetic scattering problem by a penetrable cylinder at oblique incidence
by: Gintides, Drossos, et al.
Published: (2017)
by: Gintides, Drossos, et al.
Published: (2017)
Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators
by: Cao, Xiang, et al.
Published: (2025)
by: Cao, Xiang, et al.
Published: (2025)
Diffusion Graph Posterior Sampling for Nonlinear Inverse Problems with Application to Electrical Impedance Tomography
by: Alberti, Giovanni S., et al.
Published: (2026)
by: Alberti, Giovanni S., et al.
Published: (2026)
Extension and neural operator approximation of the electrical impedance tomography inverse map
by: de Hoop, Maarten V., et al.
Published: (2025)
by: de Hoop, Maarten V., et al.
Published: (2025)
Operator learning meets inverse problems: A probabilistic perspective
by: Nelsen, Nicholas H., et al.
Published: (2025)
by: Nelsen, Nicholas H., et al.
Published: (2025)
Self-adaptive physics-informed neural network for forward and inverse problems in heterogeneous porous flow
by: Aziz, Md. Abdul, et al.
Published: (2025)
by: Aziz, Md. Abdul, et al.
Published: (2025)
Total variation regularization with reduced basis in electrical impedance tomography
by: Hannukainen, A., et al.
Published: (2026)
by: Hannukainen, A., et al.
Published: (2026)
A Weighted Sampling Method for Inverse Medium Problem with Limited Aperture
by: Han, Fuqun, et al.
Published: (2025)
by: Han, Fuqun, et al.
Published: (2025)
ROM inversion of monostatic data lifted to full MIMO
by: Druskin, V., et al.
Published: (2024)
by: Druskin, V., et al.
Published: (2024)
How far are two symmetric matrices from commuting? With an application to object characterisation and identification in metal detection
by: Ledger, P. D., et al.
Published: (2025)
by: Ledger, P. D., et al.
Published: (2025)
Electrical Impedance Tomography for Anisotropic Media: a Machine Learning Approach to Classify Inclusions
by: Gaburro, Romina, et al.
Published: (2025)
by: Gaburro, Romina, et al.
Published: (2025)
A direct reconstruction method for radiating sources in Maxwell's equations with single-frequency data
by: Harris, Isaac, et al.
Published: (2024)
by: Harris, Isaac, et al.
Published: (2024)
The lowest-order Neural Approximated Virtual Element Method on polygonal elements
by: Berrone, Stefano, et al.
Published: (2024)
by: Berrone, Stefano, et al.
Published: (2024)
Application of machine learning regression models to inverse eigenvalue problems
by: Pallikarakis, Nikolaos, et al.
Published: (2022)
by: Pallikarakis, Nikolaos, et al.
Published: (2022)
A Neural Network Enhanced Born Approximation for Inverse Scattering
by: Desai, Ansh, et al.
Published: (2025)
by: Desai, Ansh, et al.
Published: (2025)
Linearization-based direct reconstruction for EIT using triangular Zernike decompositions
by: Autio, Antti, et al.
Published: (2024)
by: Autio, Antti, et al.
Published: (2024)
Convergence Analysis for the Recovery of the Friction Threshold in a Scalar Tresca Model
by: Burman, Erik, et al.
Published: (2026)
by: Burman, Erik, et al.
Published: (2026)
A Carleman Semi-Discrete Convexification Method Combined With Deep Learning for Electrical Impedance Tomography
by: Klibanov, Michael V., et al.
Published: (2026)
by: Klibanov, Michael V., et al.
Published: (2026)
On Sampling Methods for Inverse Biharmonic Scattering Problems in Supported Plates
by: Borges, Carlos, et al.
Published: (2026)
by: Borges, Carlos, et al.
Published: (2026)
On orthogonality sampling method for Maxwell's equations and its applications to experimental data
by: Le, Thu, et al.
Published: (2024)
by: Le, Thu, et al.
Published: (2024)
An inverse moving point source problem in electromagnetics
by: Li, Minghui, et al.
Published: (2025)
by: Li, Minghui, et al.
Published: (2025)
Solving Inverse PDE Problems using Minimization Methods and AI
by: Helwani, Noura Al, et al.
Published: (2026)
by: Helwani, Noura Al, et al.
Published: (2026)
A theoretical analysis on the inversion of matrices via Neural Networks designed with Strassen algorithm
by: Romera, Gonzalo, et al.
Published: (2025)
by: Romera, Gonzalo, et al.
Published: (2025)
Inverse source problem of the biharmonic equation from multi-frequency phaseless data
by: Chang, Yan, et al.
Published: (2024)
by: Chang, Yan, et al.
Published: (2024)
The Neural Approximated Virtual Element Method for Elasticity Problems
by: Berrone, Stefano, et al.
Published: (2025)
by: Berrone, Stefano, et al.
Published: (2025)
Convergence rates under a range invariance condition with application to electrical impedance tomography
by: Kaltenbacher, Barbara
Published: (2024)
by: Kaltenbacher, Barbara
Published: (2024)
An inverse random diffraction grating problem for the Helmholtz equation
by: Sun, Zhiqi, et al.
Published: (2025)
by: Sun, Zhiqi, et al.
Published: (2025)
Local electrical impedance tomography via projections
by: Jääskeläinen, A., et al.
Published: (2026)
by: Jääskeläinen, A., et al.
Published: (2026)
Projection-based preprocessing for electrical impedance tomography to reduce the effect of electrode contacts
by: Jääskeläinen, Altti, et al.
Published: (2024)
by: Jääskeläinen, Altti, et al.
Published: (2024)
Error Estimates and Graded Mesh Refinement for Isogeometric Analysis on Polar Domains with Corners
by: Apel, Thomas, et al.
Published: (2025)
by: Apel, Thomas, et al.
Published: (2025)
A boundary integral equation method for the complete electrode model in electrical impedance tomography with tests on experimental data
by: Tyni, Teemu, et al.
Published: (2023)
by: Tyni, Teemu, et al.
Published: (2023)
Feasibility of hybrid inverse problems in limited view
by: Schlüter, Hjørdis
Published: (2024)
by: Schlüter, Hjørdis
Published: (2024)
A discontinuous Galerkin plane wave neural network method for Helmholtz equation and Maxwell's equations
by: Yuan, Long, et al.
Published: (2025)
by: Yuan, Long, et al.
Published: (2025)
Discontinuous hybrid neural networks for the one-dimensional partial differential equations
by: Wang, Xiaoyu, et al.
Published: (2025)
by: Wang, Xiaoyu, et al.
Published: (2025)
A framework of discontinuous Galerkin neural networks for iteratively approximating residuals
by: Yuan, Long, et al.
Published: (2025)
by: Yuan, Long, et al.
Published: (2025)
Similar Items
-
A direct sampling method for magnetic induction tomography
by: Chen, Junqing, et al.
Published: (2026) -
Data Completion for Electrical Impedance Tomography by Conditional Diffusion Models
by: Chen, Ke, et al.
Published: (2026) -
The learned range test method for the inverse inclusion problem
by: Sun, Shiwei, et al.
Published: (2024) -
A Model-Consistent Data-Driven Computational Strategy for PDE Joint Inversion Problems
by: Ren, Kui, et al.
Published: (2022) -
A Deep Learning-Enhanced Fourier Method for the Multi-Frequency Inverse Source Problem with Sparse Far-Field Data
by: Chen, Hao, et al.
Published: (2026)