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27 results for “Linear-Polynomial (LP)”
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Research ArticleOpen accessEvery word in the titleA Novel Linear-Polynomial Kernel to Construct Support Vector Machines for Speech RecognitionBalwant A. Sonkamble, D.D. DoyeProblem statement: To accept the inputs as spoken word utterances uttered by various speakers, recognize the corresponding spoken words and initiate action pertaining to that word. Approach: A novel Linear-Polynomial (LP) Kernel function was used to construct support vector machines to classify the spoken word utterances. The support vector machines were constructed using various kernel functions. The use of well … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,009 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOn Discrete Least Squares Polynomial Fit, Linear Spaces and Data ClassificationFrançois Dubeau, Youness MirThe best discrete least squares polynomial fit to a data set is revisited. We point out some properties related to the best polynomial and precise the dimension of vector spaces encountered to solve the problem. Finally, we suggest a basic classification of data sets based on their increasing or decreasing trend, and on their convexity or concavity form. …Journal of Mathematics and Statistics, Vol. 3, Issue 4 · 31 Dec 2007 · 6,865 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOn Gröbner Bases and Their Uses in Solving System of Polynomial Equations and Graph ColoringHaridas Kumar Das, Nasim RezaThis paper is based on the analytic and computational solution procedures of Gröbner basis and its applications. We show the behavior of the ideals generated by polynomials from a polynomial ring. We also present the idea of a zero dimensional ideal and use of this ideal to solve system of polynomial equations. We then introduce an algorithmic procedure for solving … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 27 Jun 2018 · 8,591 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMoisture Content Prediction of Dried Longan Aril from Dielectric Constant Using Multilayer Perceptrons and Support Vector RegressionSanong Amaroek, Nipon Theera-Umpon, Kittichai Wantanajittikul, Sansanee AuephanwiriyakulProblem statement: Estimation of moisture contents of dried food products from their dielectric constants was an important step in moisture measurement systems. The regression models that provide good prediction performance are desirable. Approach: The Multilayer Perceptrons (MLP) and Support Vector Regression (SVR) were applied in this research to predict the moisture contents of dried longan arils from their dielectric constants. … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,666 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOn the Pseudo-Spectral Method of Solving Linear Ordinary Differential EquationsB. S. OgundareProblem statement: Not all differential equations can be solved analytically, to overcome this problem, there is need to search for an accurate approximate solution. Approach: The objective of this study was to find an accurate approximation technique (scheme) for solving linear differential equations. By exploiting the Trigonometric identity property of the Chebyshev polynomial, we developed a numerical scheme referred to … …Journal of Mathematics and Statistics, Vol. 5, Issue 2 · 30 Jun 2009 · 7,222 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Machine Learning Approach to Predict Movie Revenue Based on Pre-Released Movie MetadataQuazi Ishtiaque Mahmud, Nuren Zabin Shuchi, Fazle Mohammed Tawsif et al.With the growth of the movie industry, it is becoming increasingly important for the stakeholders to get an idea about the probable profit made by the movie in the box office. In fact, among movies produced between 2000 and 2010 in the United States, only 36% had box office revenues higher than their production budgets, which further highlights the importance … …Journal of Computer Science, Vol. 16, Issue 6 · 10 Jun 2020 · 11,852 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Synergy Based Analysis to Control of Rehabilitation Robot for Adaptive AssistanceGyanendra Nath TripathiAdaptive assistance is needed to support mobility of disabled person due to weakened muscles and loss of joint control. Assistive robot requires coordinated motion trajectory of its joint, similar to human joint trajectory. A robot trajectory planning mechanism, based on comparative analysis between robot trajectory and human joint trajectory data is important to find coordinated trajectory for assistive robot joint. … …Journal of Mechatronics and Robotics, Vol. 9, Issue 1 · 8 Oct 2025 · 3,052 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Ensemble of Gaussian Mixture Model and Support Vector Machines for Network Intrusion DetectionOlujimi Daniel Alao, Sheriff Alimi, Shade Oluwakemi Kuyoro et al.NetworkIntrusion Detection Systems (NIDS) can protect computer networks and computersystems by detecting abnormal network packets and taking agreed action plans,such as notifying an administrator or rejecting the network packets. In this study,the aim is the implementation of NIDS with improved performance using anensemble of Support Vector Machines (SVMs) and the Gaussian Mixture Model(GMM). Four SVMs with Radial Basis Function (RBF), … …Journal of Computer Science, Vol. 18, Issue 9 · 21 Sep 2022 · 6,114 accessesView PDFCite
Research ArticleOpen accessIn the abstractFirst-Degree Polynomial Gradient Approach to Reveal the Severity of COVID-19 Pandemic in Affected CountriesDedy Rahman Wijaya, Anak Agung Gde Agung, Tora Fahrudin, SuryatiningsihCOVID-19 is a new type of Coronavirus (2019-nCoV) which originated from Wuhan in China. Since 11 March 2020, WHO has declared COVID-19 as a pandemic. Currently, it has spread to 175 countries or regions around the world. From day to day, confirmed, recovered and death cases have been reported. This data rapidly changes that indicates an uncertain situation. This uncertain … …Journal of Computer Science, Vol. 17, Issue 2 · 16 Mar 2021 · 7,171 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Level Image Thresholding via Nonlinear Fitting of the HistogramSalah AmeerThis paper proposes a novel scheme for multi-level image thresholding. The 1D cumulative histogram is curve-fitted to a polynomial of nonlinear basis function, the hyperbolic tangent (tanh). The thresholds are the positions of the minima of the first (odd) derivative of the fitting polynomial, since the histogram is the derivative of the cumulative histogram. The tanh function is considered as … …American Journal of Applied Sciences, Vol. 16, Issue 12 · 28 Dec 2019 · 7,533 accessesView PDFCite