Image de couverture de livre

Neural Correction Operator: A Reliable and Fast Approach for Electrical Impedance Tomography

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bhat, Amit, Chen, Ke, Wang, Chunmei
Format:	Preprint
Publié:	2025
Sujets:	Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Convexification With the Viscocity Term for Electrical Impedance Tomography
par: Klibanov, Michael V., et autres
Publié: (2025)

HOQRI: Higher-order QR Iteration for Low Multilinear Rank Approximation of Large and Sparse Tensors
par: Sun, Yuchen, et autres
Publié: (2025)

Learning-Enhanced Variational Regularization for Electrical Impedance Tomography via Calderón's Method
par: Li, Kai, et autres
Publié: (2025)

Generative Prior-Guided Neural Interface Reconstruction for 3D Electrical Impedance Tomography
par: Liu, Haibo, et autres
Publié: (2025)

A Simple Weak Galerkin Finite Element Method for a Class of Fourth-Order Problems in Fluorescence Tomography
par: Wang, Chunmei, et autres
Publié: (2025)

Data Completion for Electrical Impedance Tomography by Conditional Diffusion Models
par: Chen, Ke, et autres
Publié: (2026)

A Neural-Enhanced Weak Galerkin Method for Second-Order Elliptic Problems with Low-Regularity Solutions
par: Wang, Chunmei
Publié: (2026)

Electrical Impedance Tomography for Anisotropic Media: a Machine Learning Approach to Classify Inclusions
par: Gaburro, Romina, et autres
Publié: (2025)

A Least-Squares Weak Galerkin Finite Element Scheme for Cauchy Problems in Helmholtz
par: Wang, Chunmei, et autres
Publié: (2026)

A Least-Squares Weak Galerkin Finite Element Scheme for Cauchy Problems in Convection--Diffusion
par: Wang, Chunmei, et autres
Publié: (2026)

A Least-Squares Weak Galerkin Method for Second-Order Elliptic Equations in Non-Divergence Form
par: Wang, Chunmei, et autres
Publié: (2026)

A Simple Weak Galerkin Finite Element Method for Convection-Diffusion-Reaction Equations on Nonconvex Polytopal Meshes
par: Wang, Chunmei, et autres
Publié: (2026)

A weak Galerkin least squares finite element method for linear convection equations in non-divergence form
par: Wang, Chunmei, et autres
Publié: (2026)

Multi-Scale Frequency-Enhanced Deep D-bar Method for Electrical Impedance Tomography
par: Cao, Xiang, et autres
Publié: (2024)

Weak Galerkin Methods for the Brinkman Equations
par: Wang, Chunmei, et autres
Publié: (2025)

Weak Galerkin finite element methods for elliptic interface problems on nonconvex polygonal partitions
par: Wang, Chunmei, et autres
Publié: (2025)

An Auto-Stabilized Weak Galerkin Method for Elasticity Interface Problems on Nonconvex Meshes
par: Wang, Chunmei, et autres
Publié: (2025)

Auto-Stabilized Weak Galerkin Finite Element Methods for Biot's consolidation model on Non-Convex Polytopal Meshes
par: Wang, Chunmei, et autres
Publié: (2026)

Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography
par: Alberti, Giovanni S., et autres
Publié: (2025)

A Fast Algorithm for the Finite Expression Method in Learning Dynamics on Complex Networks
par: Song, Zezheng, et autres
Publié: (2024)

Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance Tomography
par: Zhou, Qingping, et autres
Publié: (2023)

Determination of a Small Elliptical Anomaly in Electrical Impedance Tomography using Minimal Measurements
par: Chen, Gaoming, et autres
Publié: (2024)

DPNO: A Dual Path Architecture For Neural Operator
par: Wang, Yichen, et autres
Publié: (2025)

Scattering and uniform in time error estimates for splitting method in NLS
par: Carles, Rémi, et autres
Publié: (2021)

Oracle-Net for nonlinear compressed sensing in Electrical Impedance Tomography reconstruction problems
par: Lazzaro, Damiana, et autres
Publié: (2024)

Let data talk: data-regularized operator learning theory for inverse problems
par: Chen, Ke, et autres
Publié: (2023)

Adaptive Fast-Slow Operator Splitting for Multiscale Biochemical Stochastic Dynamics
par: Zeng, Yuming, et autres
Publié: (2026)

Spectral Neural Operators
par: Fanaskov, V., et autres
Publié: (2022)

Diffeomorphic Neural Operator Learning
par: Taylor, Seth, et autres
Publié: (2025)

Reliability, Robustness, and Resilience Modeling for Surveillance System in Advanced Air Mobility Operations
par: Dulia, Esrat Farhana, et autres
Publié: (2026)

Boundary Interpolation on Triangles via Neural Network Operators
par: Bhat, Aaqib Ayoub, et autres
Publié: (2024)

NSNO: Neumann Series Neural Operator for Solving Helmholtz Equations in Inhomogeneous Medium
par: Chen, Fukai, et autres
Publié: (2024)

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries
par: Zeng, Chenyu, et autres
Publié: (2025)

Raster Scan Diffraction Tomography
par: Elbau, Peter, et autres
Publié: (2026)

Learning Epidemiological Dynamics via the Finite Expression Method
par: Du, Jianda, et autres
Publié: (2024)

Finite Expression Methods for Discovering Physical Laws from Data
par: Jiang, Zhongyi, et autres
Publié: (2023)

Predictor-corrector, BGN-based parametric finite element methods for surface diffusion
par: Jiang, Wei, et autres
Publié: (2024)

LegONet: Plug-and-Play Structure-Preserving Neural Operator Blocks for Compositional PDE Learning
par: Zhang, Jiahao, et autres
Publié: (2026)

Stochastic Fractional Neural Operators: A Symmetrized Approach to Modeling Turbulence in Complex Fluid Dynamics
par: Santos, Rômulo Damasclin Chaves dos, et autres
Publié: (2025)

Tomography of nonlinear materials via the Monotonicity Principle
par: Mottola, Vincenzo, et autres
Publié: (2024)