Research ArticleOpen accessEvery word in the titleRotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality ReductionAlok Sharma, Kuldip K. PaliwalLinear discriminant analysis (LDA) finds an orientation that projects high dimensional feature vectors to reduced dimensional feature space in such a way that the overlapping between the classes in this feature space is minimum. This overlapping is usually finite and produces finite classification error which is further minimized by rotational LDA technique. This rotational LDA technique rotates the classes individually … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 6,587 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParallel Approaches for Intervals Analysis of Variable Statistics in Large and Sparse Linear Equations with RHS RangesPeerayuth CharnsethikulThis study proposes an algorithm capable of working in parallel for solving large and sparse linear equations under given right hand side (RHS) ranges. A comparative study to the direct linear programming method is reported theoretically, computationally and discussed. Moreover, the approach can be adapted for the system under domain decompositions structure leading to a better efficiency experimentally. …American Journal of Applied Sciences, Vol. 4, Issue 5 · 31 May 2007 · 6,823 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Age Estimation System based on Multi Linear Principal Component AnalysisV. Tamil Selvi, K. VaniProblem statement: Human age estimation is an active research topic in computer vision. A vital characteristic in establishing identity of the person is the age. Age estimation from face images continues to be an extremely challenging task compared to other cognition problems. Age is a crucial factor in ascertaining the identity of a person. Age is estimated from the human … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 6,480 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMathematical Analysis of the Non Linear Epidemic ModelLaid Chahrazed-Rahmani Fouad LazharClassical epidemic models assume that the size of the total population is constant. More recent models consider a population size variable to take into account a longer period with death and disease causing reduced reproductive. The model contains a disease-free equilibrium and one or multiple equilibria are endemic. The stability of a disease-free status equilibrium and the existence of other … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 19 Jun 2012 · 7,170 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGlobal Analysis of an Epidemic Model with Non-Linear Incidence RateS. A.A. El-Marouf, S. M. AlihabyProblem statement: In this study the equilibrium points and their local stability are found for SIQ and SIQR epidemic models with three forms of the incidence rates. Also, we study the global stability of the equilibrium by constructing the new forms of Liapounov functions. Conclusion/Recommendations: We explored the existence of Hopf bifurcation for some parameters in the given model. …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 28 Oct 2011 · 7,274 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalyze and Predict the 2022 World Happiness Report Based on the Past Year's DatasetYifei ZhangThrough the impact of the COVID-19, people around the world have been affected to various degrees. Thus, it is more interesting to compare the happiness reported between 2022/2021 and before 2019. This article concludes 5 years of happiness scores data including family, Gross Domestic Product (GDP), health, freedom, generosity trust, and dystopia residual. Happiness scores are considered appropriate indicators to … …Journal of Computer Science, Vol. 19, Issue 4 · 16 Mar 2023 · 6,913 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOrigin Detection of Illicium Verum Hook. f. Based on Sensor Array OptimizationPang Tao, Lv Lu, Chen Xiaoyan et al.In order to improve the identification ability of electronic nosetostar anise from different areas, this study uses sensor array optimization, Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) to effectively improve the discrimination and prediction ability of electronic nose. Firstly, the initial sensor arrays are selected according to the aroma components of star anise. On the basis of extracting … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 21 Jan 2022 · 6,434 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdverse Drug Reaction Detection Using Latent Semantic AnalysisAhmed Adil Nafea, Nazlia Omar, Mohammed M. AL-AniDetecting Adverse Drug Reactions (ADRs) is one of the important information for determining the view of the patient on one drug. Most studies have investigated the extraction of ADRs from social networks, in which users share their opinion on a particular medication. Some studies have used trigger terms to detect ADRs. Such studies showed remarkable performance in terms of extracting … …Journal of Computer Science, Vol. 17, Issue 10 · 28 Oct 2021 · 7,808 accessesView PDFCite
Review ArticleOpen accessIn the keywordsSurvey on Applications of Electronic NoseS. Keerthana, B. SanthiFood plays a vital role in our daily life. Providing good quality food to consumers is essential. Food quality can be accessed using the Electronic nose. Electronic nose (E-nose) is an instrument for odor analysis. E-nose mimics the human olfaction system. It is widely used in predicting the quality of foodstuffs and detecting the contamination in foods. E-nose can also … …Journal of Computer Science, Vol. 16, Issue 3 · 15 Mar 2020 · 8,173 accessesView PDFCite