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Titlebook: Digital Connectivity – Social Impact; 51st Annual Conventi S. Subramanian,R. Nadarajan,Shina Sheen Conference proceedings 2016 Springer Nat

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Gary D. Bouma,Rod Ling,Douglas Pratts are exposed as web services based on industry standards, which follows WSDL for service illustration. These services depend on SOAP to handle service request and response. Hence Web services security is one of the important factors which are used to assess cloud system security. While creating a n
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Texture Classification Using Shearlet Transform Energy Featuresave the multiscale framework which allows to efficiently encode anisotropic features in multivariate problem classes. Shearlets are a newly developed extension of wavelets that are better suited to image characterization. In addition the degree of computational complexity of many proposed texture me
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An Enhanced and Efficient Algorithm for Faster, Better and Accurate Edge Detection information can also be taken out of an image. To extract the information out of the image, the most important feature is the edge. There are many techniques to detect edges. This paper has a detailed study about these different techniques and proposed an intelligent algorithm. Also an analysis of
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Malware Detection Using Higher Order Statistical Parametersse their path to reach the victim system through the internet, infected browsers, injected files, memory devices, etc., highly obscured malwares evade the automated tools installed in the victim. Once the victim system gets affected by the malware, executable processes are controlled by malware. In
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Denoising Iris Image Using a Novel Wavelet Based Thresholdfree image. In this paper, a novel method is proposed to remove Gaussian noise present in the iris image using Undecimated wavelet, a threshold based on Golden Ratio and weighted median. First, decompose the input image using Stationary Wavelet Transform (SWT) and apply the modified Visushrink to th
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