Research ArticleOpen accessIn the abstractPolymer Processing and Performance Testing Based on Kruskal Algorithm for Numerical AnalysisYan TangPolymer processing is an injection molding product widely used in communication, medical, and other fields. The processing and forming of polymers involve complex processes, including many parameter controls to ensure the quality of finished products. This study innovatively uses the Kruskal algorithm to conduct numerical analysis on the performance of polymer processing and molding to obtain a scientifically efficient parameter … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 29 Jul 2024 · 4,270 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoftware Development Effort Estimation Using Relational Database and Optimized Learning MechanismRavi Kumar B. N., Yeresime SureshAccurately estimating the cost of software development is crucial for effective project planning and resource allocation. However, traditional cost estimation methods rely heavily on expert judgment and historical data, which can be time consuming and prone to errors. This study suggests a learning-based cost estimation model that leverages relational databases to improve accuracy. The proposed approach estimates project cost based … …Journal of Computer Science, Vol. 19, Issue 4 · 7 Apr 2023 · 6,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Evaluation of Short Answers Using Text Similarity for the Portuguese LanguageSilvério Sirotheau, Joao C.A. dos Santos, Eloi L. Favero, Simone N. de FreitasAlong with the development of distance education, emerges the demand for virtual environments as the automated evaluation studies of essays that has already produced promising results. However, when dealing with short answers, replicating the decisions of a human grader is still a challenge, as the portability of essay evaluation techniques to short answers has not produced results with the same … …Journal of Computer Science, Vol. 15, Issue 11 · 21 Nov 2019 · 6,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data Mining Model for Students’ Choice of College Major Based on Rough Set TheoryLuai Al-ShalabiLiterature is focusing on identifying factors that influence students’ initial choice of major and few have studied students’ involvements after registration in a selected major and this study is one of the few. This study aims to determine the important factors that influence high school students’ choice of major based on data mining techniques. A questionnaire was designed to collect … …Journal of Computer Science, Vol. 15, Issue 8 · 22 Aug 2019 · 7,827 accessesView PDFCite
Review ArticleOpen accessIn the abstractAbout Boeing X-32Relly Victoria Virgil PetrescuThe Boeing X-32 is a demonstration jet designed for the Joint Strike Fighter contest. He lost the Lockheed Martin X-35 demonstrator, which was further developed in the Lockheed Martin F-35 Lightning II. Boeing's competitive advantage has been to provide considerably lower costs of production and lifecycle by minimizing variations between different versions of the JSF. Therefore, the X-32 was designed … …Journal of Aircraft and Spacecraft Technology, Vol. 3, Issue 1 · 1 Apr 2019 · 9,960 accessesView PDFCite
Research ArticleOpen accessIn the abstractMODEL SELECTION VIA ROBUST VERSION OF R-SQUAREDShokrya SalehR-squared (R2) is a popular method for variable selection in linear regression models. R2 based on Least Squares (LS) regression minimizes the sum of the squared residuals; LS is sensitive to outlier observation. Alternative criterion based on M-estimators, which is less sensitive to outlying observation has been proposed. In this study explicit expression for such criterion is obtained when the … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 9 Oct 2014 · 7,460 accessesView PDFCite
Research ArticleOpen accessIn the abstractA MIXTURE DROPOUT MECHANISM IN A LONGITUDINAL STUDY WITH TWO TIME POINTS: A METHADONE STUDYZohreh Toghrayee, Parvin Jalili, Heng Chin Low, Ardavan TaghvaOne of the most important issues that confront statisticians in longitudinal studies is dropouts. A variety of reasons may lead to withdrawal from a study and produce two different missingness mechanisms, namely, missing at random and non-ignorable dropouts. Nevertheless, none of these mechanisms is tenable in most studies. In addition, it may be that not all of dropouts are nonignorable. … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 26 Apr 2014 · 6,724 accessesView PDFCite
Research ArticleOpen accessIn the abstractANALYSIS OF BAYESIAN CLASSIFIER ACCURACYFelipe Schneider Costa, Maria Marlene De Souza Pires, Silvia Modesto NassarThe naïve Bayes classifier is considered one of the most effective classification algorithms today, competing with more modern and sophisticated classifiers. Despite being based on unrealistic (naïve) assumption that all variables are independent, given the output class, the classifier provides proper results. However, depending on the scenario utilized (network structure, number of samples or training cases, number of variables), the … …Journal of Computer Science, Vol. 9, Issue 11 · 26 Sep 2013 · 8,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Selection for High Dimensional Data: An Evolutionary Filter ApproachAnwar Ali Yahya, Addin Osman, Abd Rahman Ramli, Adlan BalolaProblem statement: Feature selection is a task of crucial importance for the application of machine learning in various domains. In addition, the recent increase of data dimensionality poses a severe challenge to many existing feature selection approaches with respect to efficiency and effectiveness. As an example, genetic algorithm is an effective search algorithm that lends itself directly to feature selection; … …Journal of Computer Science, Vol. 7, Issue 5 · 9 May 2011 · 7,946 accessesView PDFCite