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Software fault detection is the process of analyzing the software for identifying the errors before it is being deployed to the customer. The classifier is employed to perform the software fault detection. Therefore, the accuracy of the software fault detection highly depends on the classifier which is employed in fault detection. Developing the classifier with irrelevant and redundant features of...
Discrete Cosine Transform (DCT) is widely used in image and video compression standards. This paper presents low-power co-ordinate rotation digital computer (CORDIC) based reconfigurable architecture for discrete cosine transform (DCT). All the computations in DCT are not equally important in generating the frequency domain output. Considering the important difference in the DCT coefficients the number...
This paper presents a pragmatic study on feature subset selection evaluators. In data mining, dimensionality reduction in data preprocessing plays a vital role for improving the performance of the machine learning algorithms. Many techniques have been proposed by researchers to achieve dimensionality reduction. Beside the contribution of feature subset selection in dimensionality reduction gives a...
Mobile Ad hoc networks are a class of dynamic networks without any centralized administration. A major problem in Mobile Ad hoc networks (MANETs) is the anonymity threat arises among the nodes usually when they mobile. Many researches are concentred on the part of avoiding anonymity threat in MANET with different approaches using simulators. This paper presents an implementation of (ATARPA) Anonymity...
This paper presents a novel approach for Gaussian noise removal using Multiscale Filter Banks for the Contourlet Transform. The Multiscale Directional Filter Bank (MDFB) improves the radial frequency resolution of the Contourlet Transform by introducing an additional decomposition in the high frequency band. This reduces the computational complexity significantly by saving a directional decomposition...
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