14 citations · 14 across the 3 of their papers we have counts for
5 papers
Inverse Electromagnetic Scattering for Doubly-Connected Cylinders using Convolutional Neural Networks
Leonidas Mindrinos, Nikolaos Pallikarakis, Nikolaos L Tsitsas
In this work, we consider the inverse electromagnetic scattering problem for a magneto-dielectric cylinder covering an impedance cylinder of arbitrary shape. We solve it by introdu…
Neumann series of Bessel functions in direct and inverse spherically symmetric transmission eigenvalue problems
Vladislav V. Kravchenko, L. Estefania Murcia-Lozano, Nikolaos Pallikarakis
The transmission eigenvalue problem (TEP) plays a central role in inverse scattering theory. Despite substantial theoretical progress, the numerical solution of direct and inverse…
Estimating properties of a homogeneous bounded soil using machine learning models
Konstantinos Kalimeris, Leonidas Mindrinos, Nikolaos Pallikarakis
This work focuses on estimating soil properties from water moisture measurements. We consider simulated data generated by solving the initial-boundary value problem governing verti…
Application of machine learning regression models to inverse eigenvalue problems
Nikolaos Pallikarakis, Andreas Ntargaras
In this work, we study the numerical solution of inverse eigenvalue problems from a machine learning perspective. Two different problems are considered: the inverse Strum-Liouville…
Analysis of the transmission eigenvalue problem with two conductivity parameters
Rafael Ceja Ayala, Isaac Harris, Andreas Kleefeld +1
In this paper, we provide an analytical study of the transmission eigenvalue problem with two conductivity parameters. We will assume that the underlying physical model is given by…