This review is aimed at presenting an overview of evolutionary algorithms (EAs) as applied
to the solution of inverse scattering problems. The focus of this work is on the use of different …

An introduction to the most relevant theoretical and algorithmic aspects of modern
microwave imaging approaches Microwave imaging—a technique used in sensing a given …

Abstract Machine intelligence continues to rise in popularity as an aid to the design and
discovery of novel metamaterials. The properties of metamaterials are essentially …

The linear sampling method (LSM) is a simple and effective approach to image the shape of
unknown targets via the solution of a linear inverse problem. In this paper, we show that the …

Inverse problems arising in microwave imaging suffer from high ill-posedness. As it is well
known, it is necessary to employ regularized inversion methods, in order to mitigate such …

Abstract Ground Penetrating Radar (GPR) is a non-destructive imaging system able to
provide high-resolution images of the subsurface. From a theoretical point of view, it requires …

INTRODUCTION: Pancreatic cancer is highly lethal as it grows, spreads rapidly and difficult
to diagnose at its early stages. It can be identified through scan images. The tumorous …

By using properly designed synthetic (or “virtual”) experiments and an original
approximation of the contrast sources, we are able to recast the inverse scattering problem …

In the framework of inverse scattering techniques for microwave imaging, this paper
proposes an approach based on the integration between a multiscaling procedure and the …

Linear sampling method (LSM) is a qualitative method used to reconstruct the support of
scatterers. This paper presents a modification of the LSM approach. The proposed method …