The basic process for an extensive range of security systems functioning in real‐time
applications is facial recognition. Considering several factors like lower resolution …

Digital Image inpainting methods provide a means for reconstruction of small damaged
portions of an image. Image or video resources are often received in poor conditions, mostly …

A novel approach to simulate cellular neural networks (CNN) is presented in this paper. The
approach, time-multiplexing simulation, is prompted by the need to simulate hardware …

Abstract A new Runge-Kutta (PK) fourth order with four stages embedded method with error
control is presented in this paper for raster simulation in cellular neural network (CNN) …

Parallel RK (5, 6) algorithms are employed to validate the potential behaviour under
improved fuzzy cellular neural network paradigm for an edge detection problem is the …

A novel approach to simulate Cellular Neural Networks (CNN) is presented in this paper.
The approach, time-multiplexing simulation, is prompted by the need to simulate hardware …

In this paper, a universal simulator for cellular neural network (CNN) is presented. This
simulator is capable of performing Raster simulation for any size of input image, and thus is …

This paper presents, a design method for the template of the hole-filler used to improve the
performance of the character recognition using Numerical integration algorithms. This is …

Legendre Neural Network Method was utilized in this research work to investigate time
invariant and time varying nonlinear singular systems. The researchers attained the results …

Digital Image restoration methods provide means for rebuilding of small damaged portions
of an image. Image or video resources are often received in poor conditions, mostly with …