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150 articles for “Predictive Model”
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Research ArticleOpen accessIn the abstractA Descriptive Analysis of Students Learning Skills Using Bloom’s Revised TaxonomyJoy Christy Antony Sami, Umamakeswari ArumugamThe academic committees worldwide suggest technical institutions to follow Revised Bloom’s Taxonomy (RBT), a framework that helps to develop learning objectives. The model classifies a hierarchy of educational objectives such as cognitive, sensory and affective domains that are not only helping the students to evolve thinking abilities but also to identify the skills they are lacking with. Analysis of students … …Journal of Computer Science, Vol. 16, Issue 2 · 4 Sep 2019 · 8,544 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest Based Feature Selection of Macroeconomic Variables for Stock Market PredictionIsaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam WeyoriA firm’s equity price on the stock-market is reported to be closely related to the Macroeconomic Variable (MVs) of the country in which the firm trades. For this reason, researchers, market traders, financial analysts and forecasters to examine the association between MVs and stock-price have carried out numerous studies, using time-series statistical analysis methods like Autoregressive Integrated Moving Average (ARIMA), … …American Journal of Applied Sciences, Vol. 16, Issue 7 · 31 Jul 2019 · 10,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractCFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred TankNorazaliza Mohd Jamil, Qi WangRenewable energy or biofuel from lignocellulosic biomass is an alternative way to replace the depleting fossil fuels. The production cost can be reduced by increasing the concentration of biomass particles. However, lignocellulosic biomass is a suspension of natural fibres and processing at high solid concentration is a challenging task because it will affect the mixing quality between the enzyme and … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 25 Oct 2016 · 8,002 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Inferences of the Rest Lifetimes of Ball Bearings' Residual Lifetimes Based on Rayleigh Residual Type II Censored DataGhassan K. Abufoudeh, Omar M. Bdair, Raed R. Abu AwwadIn this study, we consider statistical inference problems for the residual life data that come from the Rayleigh model based on type II censored data. Maximum likelihood and Bayesian approaches are used to estimate the scale and location parameters for the Rayleigh model, the Gibbs sampling procedure is used to draw Markov Chain Monte Carlo (MCMC) samples and MCMC samples … …Journal of Mathematics and Statistics, Vol. 12, Issue 3 · 1 Aug 2016 · 7,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractA FRAMEWORK FOR MULTILINGUAL TEXT- INDEPENDENT SPEAKER IDENTIFICATION SYSTEMSundaradhas Selva Nidhyananthan, Ramapackiam Shantha Selva KumariThis article evaluates the performance of Extreme Learning Machine (ELM) and Gaussian Mixture Model (GMM) in the context of text independent Multi lingual speaker identification for recorded and synthesized speeches. The type and number of filters in the filter bank, number of samples in each frame of the speech signal and fusion of model scores play a vital role in … …Journal of Computer Science, Vol. 10, Issue 1 · 13 Nov 2013 · 7,279 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Gaussian Process Regression Model for the Traveling Salesman ProblemWanatchapong Kongkaew, Juta PichitlamkenProblem statement: Traveling Salesman Problem (TSP) is a famous NP hard problem. Many approaches have been proposed up to date for solving TSP. We consider a TSP tour as a dependent variable and its corresponding distance as an independent variable. If a predictive function can be formulated from arbitrary sample tours, the optimal tour may be predicted from this function. … …Journal of Computer Science, Vol. 8, Issue 10 · 30 Aug 2012 · 7,373 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Application of Multivariate Analysis in Modeling Students Placement in Nigerian Higher InstitutionsAli Idrisa Gambo, Mohammed Waziri YusufProblem statement: Students’ placement into courses of study in most (if not all) tertiary institutions in Nigeria had long been a problematic exercise. Most students get placed into courses of study they are ill suited to and then for which they are ill prepared. Approach: This research focused on the polytechnic, taking the newest federal polytechnic as a case study, … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural NetworksAlaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-DhaifallahHepatitis C refers to the inflammatory state of the liver caused by viruses, bacteria, fungi, and exposure to toxins such as alcohol and self-immunity. The diagnosis requires investigating many laboratory tests and comparing the results to those of the former patients with the same conditions. This study presents the results of our experiments to build a hybrid system that combines … …Journal of Computer Science, Vol. 16, Issue 3 · 27 Mar 2020 · 7,470 accessesView PDFCite
Research ArticleOpen accessIn the abstract3D-QSAR and SVM Prediction of BRAF-V600E and HIV Integrase Inhibitors: A Comparative Study and Characterization of Performance with a New Expected Prediction Performance MetricLeonard Wesley, Saihitha Veerapaneni, Rachana Desai et al.The results of directly comparing the prediction accuracy of optimized 3D Quantitative Structure-Activity Relationship (3D-QSAR) models and linear Support Vector Machine (SVM) classifiers to identify small molecule inhibitors of the BRAF-V600E and HIV Integrase targets are reported. Performance comparisons were carried out using 303 compounds (68 active) against BRAF-V600E and 204 compounds (159 active) against HIV Integrase. A SVM prediction … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 4 · 17 Oct 2016 · 7,804 accessesView PDFCite
Literature ReviewOpen accessIn the abstractImproving Organizational Citizenship Behavior through Spirituality and Work EngagementAminah Ahmad, Zoharah OmarThe focus of previous studies on predictors of organizational citizenship behavior has been on individual, organizational and task characteristics as well as leadership behaviors. Despite the greater focus of previous studies on individual characteristics, little is known about the potential effect of spirituality on organizational citizenship behavior. Using the work engagement model and results from previous empirical studies, a framework … …American Journal of Applied Sciences, Vol. 12, Issue 3 · 7 May 2015 · 7,142 accessesView PDFCite