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Research ArticleOpen accessIn the keywordsNumerical Solution of Higher Order Ordinary Differential Equations by Direct Block CodeN. Waeleh, Z. A. Majid, F. Ismail, M. SuleimanProblem statement: This study is concerned with the development of a code based on 2-point block method for solving higher order Initial Value Problems (IVPs) of Ordinary Differential Equations (ODEs) directly. Approach: The block method was developed based on numerical integration and using interpolation approach which is similarly as Adams Moulton type. Furthermore, the proposed method is derived in order … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 3 Feb 2012 · 8,138 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInverse Correlations for Multiple Time Series and Gaussian Random Fields and Measures of Their Linear DeterminismR.J. Bhansali, L. IppolitiFor a discrete-time vector linear stationary process, {X(t)}, admitting forward and backward autoregressive representations, the variance matrix of an optimal linear interpolator of X(t), based on a knowledge of {X(t-j), j≠0}, is known to be given by Ri(0)-1 where Ri(0) denotes the inverse variance of the process. Let A=Is-1Ri(0)ˉ1R(0)ˉ1, where R(0) denotes the variance matrix of {X(t)} and Is an … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,424 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Block Method for Special Third Order Ordinary Differential EquationsB. T. Olabode, Y. YusuphA linear multistep method for the direct solution of initial value problems of ordinary differential equations was presented in this article. Collocation approximation method was adopted in the derivation of the scheme and then the scheme was applied as simultaneous integrator to special third order initial value problem of ordinary differential equations. The new block method possessed the desirable feature … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 7,707 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Multiderivative Collocation Method for 5th Order Ordinary Differential EquationsS. J. Kayode, D. O. AwoyemiProblem statement: The conventional methods of solving higher order differential equations have been by reducing them to systems of first order equations. This approach is cumbersome and increases computational time. Approach: To address this problem, a numerical algorithm for direct solution of 5th order initial value problems in ordinary differential equations (odes), using power series as basis function, is proposed … …Journal of Mathematics and Statistics, Vol. 6, Issue 1 · 31 Mar 2010 · 8,928 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplication of Neuro-Fuzzy Techniques for Solar RadiationW. A. Rahoma, U. Ali Rahoma, A. H. HassanProblem statement: The prediction is very useful in solar energy applications because it permits to estimate solar data for locations where measurements are not available. The developed artificial intelligence models predict the solar radiation time series more effectively compared to the conventional procedures based on the clearness index. Approach: The forecasting ability of some models could be further enhanced with … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 7,077 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing Supervised Classification Algorithms for Mangrove Detection and Differentiation from Other Forest Types in Paiton District, Probolinggo RegencyKaruniawan Puji Wicaksono, Fathor Rohman, Yasushi MitsudaRemote sensing provides an effective approach for monitoring forest cover dynamics, yet distinguishing mangroves from other forest types remains challenging in heterogeneous coastal landscapes. This study compares six supervised classification algorithms: Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Mixture Discriminant Analysis (MDA), Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) for mangrove detection in Paiton, … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 1 Sep 2026 · 844 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of E-Service Quality Dimensions on Repurchase Intention for Digital Products: The Role of Satisfaction and Trust Among Young Consumers in Chattogram City, BangladeshMohammad Toufiqur Rahman, Ashfia Khan Ema, Muhammad Abdul AhadThis study aims to analyze the digital product marketplace in Chattogram, Bangladesh by investigating the influence of e-service quality dimensions, namely reliability, responsiveness, security, and convenience, on mobile-first young consumers' satisfaction, trust, and repurchase intention. Using repurchase intention as a primary indicator of digital loyalty, the study contributes to existing literature by considering theories such as the Expectancy-Confirmation Theory, Relationship … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,642 accessesView PDFCite
Research ArticleOpen accessIn the abstractSocial Protection Cash Transfers and Gendered Equality: An Analysis of Gendered Differences in Poverty Reduction and Income DistributionJulius OkelloThis research investigates key determinants of poverty reduction and income distribution in eastern Uganda's Teso sub-region. Regression analysis reveals significant negative coefficients for access to healthcare (β = -0.414, p = 0.029) and road infrastructure (β = -0.363, p = 0.014), indicating lower poverty levels in communities with better access. Employment (β = -2.8, p = 0.000) and income (β … …American Journal of Economics and Business Administration, Vol. 17, Issue 1 · 5 Aug 2026 · 942 accessesView PDFCite
Research ArticleOpen accessIn the abstractVolatility-Aware Hybrid Memory Architecture for Real-Time and Persistent Big Data SystemsMohammed Elhabib Maicha, Mohammed Redha BouzidiAs data volumes and real-time analytics demands grow, DRAM only memory systems struggle to scale cost-efficiently and sustainably. We present VA-HMA, a volatility-aware hybrid memory architecture that combines DRAM and Non-Volatile Memory (NVM) with a lightweight, machine-learned placement layer and endurance-aware fault tolerance. VA-HMA continuously monitors access patterns and applies a Random Forest–based predictor to guide batched page migrations and … …Journal of Computer Science, Vol. 22, Issue 6 · 27 Jun 2026 · 1,214 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe End of the Middle as we know it a Cross-Sectional Comparison of Political Polarization among College Students in 2005 and 2020Sara Holland Levin, Kristine Nowak, Christian RauhThe growing political polarization in America is demonstrated in many ways, including through increased salience and extremity of political identity. According to social identity theory, people are more likely to view ingroup members positively, and outgroup members negatively, especially when that group identification is particularly salient. This paper examines the evolution of political identity by reporting on surveys of college … …Journal of Social Sciences, Vol. 22, Issue 1 · 25 Jun 2026 · 1,536 accessesView PDFCite