Abstract: The purpose of this study is the study and modeling of phenomenon ‘interaction between the antenna and the human body ’ by the Artificial Neural Network (ANN). This technique is based on mathematical formulations and a base of learning who took simulations by noted trade CST MS. An example of the interaction between a body, which the dielectric properties are given and a dipole antenna, has been studied. The results validate the new approach. The good agreement between the results of the given simulation published justifies the modeling process and validates the current approach of the analysis
The inverse problems in electromagnetic system design, optimization, and identification received lat...
Planar structures such as single microstrip Line (SML) and microstrip coupled line (MCL) are basic c...
This paper presents recent advances in model development for RF/microwave components exploiting two ...
ABSTRACT − The paper deals with the analysis of a wire V-dipole by Time-Domain Method of Moments (TD...
Neural networks are electronic systems which can be trained toremember behavior of a modeled structu...
A new equivalent dipole model hybrid with artificial neural network (ANN) is proposed in this paper ...
I am responsible for the formulation of preprocessing functions to enhance the efficiency of the sim...
In this paper a new technique is proposed to calculate design parameters of Elliptical micro-strip p...
The project deals with artificial neural networks. After designing and debugging the test data set a...
ABSTRACT: In order to avoid the computational complexities involved in analyzing reconfigurable ante...
This paper provides an overview of the recent advances in electromagnetic (EM) modeling approaches u...
International audienceA general analysis, design and optimization procedure of a neutralized multi-a...
This paper presents a new model based on the backpropagation multilayered perception network to find...
In this article, a novel and efficient approach for modeling radio‐frequency microelectromechanical ...
This paper depicts the design of Frequency Selective Surface (FSS) comprising of dipoles using Artif...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
Planar structures such as single microstrip Line (SML) and microstrip coupled line (MCL) are basic c...
This paper presents recent advances in model development for RF/microwave components exploiting two ...
ABSTRACT − The paper deals with the analysis of a wire V-dipole by Time-Domain Method of Moments (TD...
Neural networks are electronic systems which can be trained toremember behavior of a modeled structu...
A new equivalent dipole model hybrid with artificial neural network (ANN) is proposed in this paper ...
I am responsible for the formulation of preprocessing functions to enhance the efficiency of the sim...
In this paper a new technique is proposed to calculate design parameters of Elliptical micro-strip p...
The project deals with artificial neural networks. After designing and debugging the test data set a...
ABSTRACT: In order to avoid the computational complexities involved in analyzing reconfigurable ante...
This paper provides an overview of the recent advances in electromagnetic (EM) modeling approaches u...
International audienceA general analysis, design and optimization procedure of a neutralized multi-a...
This paper presents a new model based on the backpropagation multilayered perception network to find...
In this article, a novel and efficient approach for modeling radio‐frequency microelectromechanical ...
This paper depicts the design of Frequency Selective Surface (FSS) comprising of dipoles using Artif...
The inverse problems in electromagnetic system design, optimization, and identification received lat...
Planar structures such as single microstrip Line (SML) and microstrip coupled line (MCL) are basic c...
This paper presents recent advances in model development for RF/microwave components exploiting two ...