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79 results for “entropy”
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Research ArticleOpen accessEvery word in the titleThe Extract Region of Interest in High-Resolution Palmprint using 2D Image Histogram Entropy FunctionInass Shahadha Hussein, Shamsul Bin Sahibuddin, Md Jan Nordin, Nilam Nur AmirThe segmentation of high-resolution palmprint is has been challenged and the research in this filed is still limited because of variations in location and distortion of these images. To achieve superior recognition result, accurate segmentation of a region of interest is very crucial. Therefore, in this paper, a novel palmprint extraction method has been presented using a 2D image histogram … …Journal of Computer Science, Vol. 15, Issue 5 · 8 May 2019 · 7,652 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEntropyomics as the Blueprint of the Logic of Normal Cell Division and MalignancyKambiz AfrasiabiProblem statement: In this article I propose a blueprint based on one of the most fundamental laws governing the known universe, namely the second law of thermodynamics and I present support for its central role in initiation of mitosis and relationship of the other sub cellular compartments and their organization. Approach: Life is considered to be the most sophisticated antientropy … …OnLine Journal of Biological Sciences, Vol. 11, Issue 1 · 6 Jul 2011 · 10,377 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEdge Detection in Gray Level Images based on the Shannon EntropyBaljit Singh, Amar P. SinghMost of the classical mathematical methods for edge detection based on the derivative of the pixels of the original image are Gradient operators, Laplacian and Laplacian of Gaussian operators. Gradient based edge detection methods, such as Roberts, Sobel and Prewitts, have used two 2-D linear filters to process vertical edges and horizontal edges separately to approximate first-order derivative of pixel … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,882 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleContribution of the Entropy Function to the Study of Collimator for Nuclear Medicine ImagingM.S. Bouhdima, I. Elloumi, M.H.B. GhozlenScintigraphic image currently used in the diagnosis or the evaluation process of tissues, is strongly dependant on several technical parameters specially collimator characteristics. The present work describes a numerical method, based on entropy function, able to specify depth and hole diameter of collimator as well as other geometrical parameters to get a better accuracy in scintigraphy evaluation. From the classical … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 6,737 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWhether Gaussian Nucleus Entropy Helps? Case in Point is Prediction of Number of Cesarean BirthsRamalingam ShanmugamIn this article, entropy in the collected data about the Gaussian population mean is traced from its embryonic stage as new data are periodically collected. The traditional Shannon's entropy has shortcomings from the data analytics point of view and it creates a necessity to refine the Shannon's entropy. Its refined version is named Gaussian Nucleus Entropy in this article. Advantages … …Current Research in Biostatistics, Vol. 6, Issue 2 · 31 Dec 2016 · 8,056 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of Human Emotions via Univariate and Multivarite Multiscale EntropyKawser AhammedThis work analyzes the emotions of human in terms of complexity. This analysis is achieved by applying both univariate and multivariate multiscale entropy methods on a multimodal dataset. Most of the contemporary human-computer interaction systems are unable to identify human affective states. So, the benefit of analyzing human emotions is to fill this gap by detecting human affective states. The … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 3 · 23 Jul 2015 · 8,125 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleKRETSCHMANN INVARIANT AND RELATIONS BETWEEN SPACETIME SINGULARITIES ENTROPY AND INFORMATIONIoannis Gkigkitzis, Ioannis Haranas, Omiros RagosCurvature invariants are scalar quantities constructed from tensors that represent curvature. One of the most basic polynomial curvature invariants in general relativity is the Kretschmann scalar. This study is an investigation of this curvature invariant and the connection of geometry to entropy and information of different metrics and black holes. The scalar gives the curvature of the spacetime as a … …Physics International, Vol. 5, Issue 1 · 28 Mar 2014 · 11,910 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparative Analysis of the Entropy and Transition Point Approach in Representing Index Terms of Literary TextHayati Abd Rahman, Shahrul Azman NoahProblem statement: Concept hierarchy is a hierarchically organized collection of domain concepts. It is particularly useful in many applications such as information retrieval, document browsing and document classification. Approach: One of the important tasks in construction of concept hierarchy is identification of suitable terms with appropriate size of domain vocabulary. Results: One way of achieving such a size is by … …Journal of Computer Science, Vol. 7, Issue 7 · 30 Jun 2011 · 6,676 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Entropy Based Method for Removing Web Query Ambiguity in Hindi LanguageS. K. Dwivedi, P. RastogiProblem statement: WSD is core problem of many Natural Language Processing (NLP) tasks; information retrieval is one of them. Information Retrieval in Hindi language also faces the similar problem of WSD. Hindi language is spoken by the major population in India. Natives from the rural area come across the setback of Hindi language information retrieval. WSD is one of them. … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 6,967 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBayesian Estimation for Lomax Distribution: A Comparison of Loss Functions Using Jeffreys PriorsHuda Mohammed AlomariThis study investigates the estimation of the shape parameter for the Lomax distribution using complete data. We compare the performance of the classical Maximum Likelihood Estimation (MLE) method against the Bayesian framework. Within the Bayesian approach, three distinct loss functions were utilized: the linear exponential (LINEX), general entropy, and weighted general entropy loss functions. The precision of these estimators was … …Journal of Mathematics and Statistics, Vol. 21, Issue 1 · 24 Dec 2025 · 2,635 accessesView PDFCite