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394 articles for “Learning Based Approach”
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Research ArticleOpen accessAll words, across the recordRandom 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 · 10,234 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDistributed and Parallel Decision Forest for Human Activities Prediction: Experimental Analysis on HAR-Smartphones DatasetBudi Padmaja, Venkata Rama Prasad Vaddella, Kota Venkata Naga SunithaSensor-based human motion detection requires the subtle amount of knowledge about various human activities from fitted sensor observations and readings. The prevalent pattern recognition methodologies have made immense progress over recent years. Nonetheless, these kind of methods usually rely on the particular heuristic variable extraction, which could inhibit generalization realization. This paper presents a distributed and parallel decision forest approach … …Journal of Computer Science, Vol. 15, Issue 5 · 11 May 2019 · 7,392 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordForecasting Air Passenger Demand: A Comparison of LSTM and SARIMAQuang Hung Do, Shih-Kuei Lo, Jeng-Fung Chen et al.All airports need to have an accurate prediction of the number of passengers for their efficient management. An accurate prediction of the number of air passengers is crucial task since it provides information for planning decisions in the airport infrastructure to stabilize the service and maximize the profit. This study proposes a novel air passenger demand forecasting model based on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 8,555 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Comparative Study of Data Mining approaches for Bag of Visual Words Based Image ClassificationSahar Abd El Hameed Mokhtar, Heba Ahmed ElnemrImage classification is one of the most significant and challenging tasks in computer vision. The goal of this task is to build a system that is capable to reveal an image label within a collection of different image categories. This paper presents and discusses the application of various data mining techniques for image classification based on Bag of Visual Words … …Journal of Computer Science, Vol. 14, Issue 1 · 12 Jan 2018 · 7,983 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordThe Economics of Autism in EgyptRoger Lee MendozaProblem statement: This was the first study ever done on the cost consequences of Autism Spectrum Disorder (ASD) in Egypt or any other developing/industrializing country. The following questions were empirically investigated: What are the economic costs of ASD in Egypt and how do they compare with developed/industrialized countries? Why are cost consequences important in formulating ASD policy in Egypt and … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 11,735 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFramework of Regression-Based Graph Matrix Analysis Approach in Multi-Relational Social Network ProblemFord Lumban Gaol, Belawati WidjajaCommunity mining is one of the major directions in social network analysis. Social network analysis has attracted much attention in recent years. Most of the existing methods on community mining assume that there is only one kind of relation in the network and moreover, the mining results are independent of the users’ needs or preferences. However, in reality, there exist … …Journal of Mathematics and Statistics, Vol. 4, Issue 1 · 31 Mar 2008 · 6,922 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Web-based Interactive Real Laboratory for Process Engineering EducationMaher Chaabene, Kamel Mkaouar, Mohamed OualiAn online supervision and control of a laboratory designed for process engineering education was conceived. The principal aim was to minimise the time access of an operator when manipulating laboratory features. Hence, the Time delay due to Internet traffic was overcome by using a Web Embedded Server (WES). A human-computer interactive interface using JAVA Script was developed so as to … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,723 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFace Recognition Based on Nonlinear Feature ApproachEimad E.A. Abusham, Andrew T.B. Jin, Wong E. Kiong, G. DebashisFeature extraction techniques are widely used to reduce the complexity high dimensional data. Nonlinear feature extraction via Locally Linear Embedding (LLE) has attracted much attention due to their high performance. In this paper, we proposed a novel approach for face recognition to address the challenging task of recognition using integration of nonlinear dimensional reduction Locally Linear Embedding integrated with Local … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,520 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordTask Collaborative Resolution Tool for Elearning EnvironmentSamir Zidat, Mahieddine DjoudiIn this article, we are interested in the tasks collaborative resolution in elearning context, and in the use of information technology to support this activity. A part of this article is devoted to the modeling of the activity of tasks collaborative resolution. Then, we suggest an approach for the automatic perception of the good quality of the users’ contribution. This … …Journal of Computer Science, Vol. 2, Issue 7 · 31 Jul 2006 · 6,618 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCancer Classification using Support Vector Machines and Relevance Vector Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The objective of this study is, to find the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: The computational burden and noise arising from irrelevant genes are much reduced; the cost for cancer testing … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,593 accessesView PDFCite