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16.658  Articles
1 of 1.667 pages  |  10  records  |  more records»
In this paper we present an original implementation of a homogeneous algorithm for motion estimation and compensation in image sequences, by using Cellular Neural Networks (CNN). The CNN has been proven their efficiency in real-time image processing, beca... see more

The task simulation modeling of multiprocessor systems based on the use of cellular neural networks. Each processing element is described by a subset of neurons in artificial neural networks. As the algorithmic provision considered locally asynchronous me... see more

In this paper, to separate regional-residual anomaly maps and to detect borders of buried geological bodies, weapplied the Cellular Neural Network (CNN) approach to gravity and magnetic anomaly maps. CNN is a stochasticimage processing technique, based op... see more

Background. The study is devoted to understanding the physiological origin of oscillation and the functional role of such oscillations. The purpose of the study was to conceptualize the role of oscillatory signals in different frequency bands by network s... see more

Background. The study is devoted to understanding the physiological origin of oscillation and the functional role of such oscillations. The purpose of the study was to conceptualize the role of oscillatory signals in different frequency bands by network s... see more

The author considered the problem of simulation modeling for solving problems of mathematical physics. To solve these problems the author proposes to use cellular neural networks as means of modeling. As algorithmic software and tool optimization of neura... see more

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 done by analyzing the features of the hole-filler template and the dynami... see more

The Next Generation mobile network expected to be fully automated to meet the growing need for data rates and quality in communication. These prodigious demands have also increased the amount of data being handled in these wireless networks. The cellular ... see more

A State Controlled-Cellular Neural Network (SC-CNN) based chaotic model for generating multi-scroll attractors via hyperbolic tangent function series is proposed in this paper. After presenting the double scroll generation, the presented SC-CNN system is ... see more

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