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Titlebook: Networking Communication and Data Knowledge Engineering; Volume 2 Gregorio Martinez‘Perez,Krishn K. Mishra,Munesh C. Conference proceedings

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Relation Between Facebook Stories and Hours of a Dayf user behavior on social network applications. In this paper, structural and dynamical modeling issues have been investigated. Social networks are treated as random graphs where a node is indicator variable of an entity on social network. The term random graph refers to the messy nature of the arra
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Lagrangian Twin SVR Based Grayscale Image Watermarking Using LWT-QR Decompositioncomposition for copyright protection application is proposed in this chapter. Firstly, host image decomposed into low-frequency subband (.) and detail subbands by applying lifting wavelet transform (LWT). Secondly, the blocks of . depend on the fuzzy entropy, and the selected regions of . are transf
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Difference in Lights and Color Background Differentiates the Color Skin Model in Face Detection for t look directly into the camera; when the face is not held in the same angle, the system might not recognize the face. In this paper, we are considering various live studies where security surveillance ought to be a first preference of our own lives. Few studies have taken as source input study whic
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Feature Extraction and Fuzzy-Based Feature Selection Method for Long Range Captured Iris Imagesition, feature extraction and feature selection play a major role in increasing the recognition accuracy. This paper proposes feature extraction method using discrete cosine transform domain-based no-reference image quality assessment model, gray-level co-occurrence matrix, Hu seven moments, and sta
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Comparative Analysis and Evaluation of Biclustering Algorithms for Microarray Databiclustering algorithms over the drawbacks of clustering algorithms on gene expression data. Many biclustering algorithms have been published in recent years. Some of them performed well on gene expression data and other have some issues. In this paper, analysis of some popular biclustering algorith
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Unconstrained Iris Image Super Resolution in Transform Domain method combines iterated back projection approach with the Papoulis-Gerchberg (PG) method to super resolute the iris images in discrete cosine transform domain. The method is tested on CASIA long-range iris database by comparing and analyzing the structural similarity index matrix, peak signal-to-n
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Difference in Lights and Color Background Differentiates the Color Skin Model in Face Detection for ng various live studies where security surveillance ought to be a first preference of our own lives. Few studies have taken as source input study which helped us for better outcome. Further algorithm designed to get significant result is least expected to perform well on small sample data.
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Conference proceedings 2018 engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the advances in these fields from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of ‘International Conference on Recent Advancement
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