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50 results for “Distance Learning”
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Research ArticleOpen accessIn the abstractBiometric Gait Recognition Based on Machine Learning AlgorithmsMohamed SayedIt is crucial to find methods that analyze large amount of data captured by cameras and/or various sensors installed all around us. Machine learning becomes a prevailing tool in analyzing such data that signifies behavioral characteristics of human beings. Gait as an identifier for use in individual recognition systems has respective and almost certainly unique key features for each person … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 8,984 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultiresolution Laplacian Sparse Coding Technique for Image ClassificationIntidhar Jemel, Ridha Ejbali, Mourad ZaiedSparse coding is a set of techniques used for learning a collection of over-complete bases to represent data efficiently. This technique has been used in different domain such as feature quantization and image classification. Despite its capacity of modeling, it could not represent similarity of the image coding which cause a poor performance in locality. The cause of this limitation … …Journal of Computer Science, Vol. 14, Issue 8 · 23 May 2018 · 7,920 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigating the E-Learning Acceptance in Oman: Application of Structural Equation Modelling ApproachSalim Amor Al-Hajri, Syed Ghayas, Abdelghani EchchabiSimilar to many developing countries, Oman recognizes the importance of e-learning and Information Communication Technology (ICT) to enhance the higher education standards and compete in the global education markets. Many higher education organizations today expect e-learning to add value to their organization and hence improve the economy by extending their educational services to students and other students who are not … …Journal of Computer Science, Vol. 14, Issue 3 · 17 Mar 2018 · 8,392 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Classification Techniques on Fused Optical and SAR Images for Shoreline Extraction: A Case Study at Northeast Coast of Peninsular MalaysiaSyaifulnizam Abd Manaf, Norwati Mustapha, Md Nasir Sulaiman et al.Shoreline is a very important element to identify exact boundary at the coastal areas of a country. However, in order to identify land-water boundary for a large region using traditional ground survey technique is very time consuming. Alternatively, shoreline can be extracted by using satellite images that minimizes the mapping errors. The trend of extracting shoreline has been shifted from … …Journal of Computer Science, Vol. 12, Issue 8 · 27 Oct 2016 · 7,708 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractINTELLIGENCE MOBILE AND DIGITAL BROADCASTING TECHNOLOGY TO SUPPORT LEARNING FOR DISABILITIES STUDENTSSettachai Chaisanit, Chiraphorn Chomyim, Samphan ChandeeUsage of mobile digital broadcasting technologies in education is the most important of required technologies to provide main goals in distance education. It offers learning and data accession opportunities to learners notwithstanding time and place. In academic education, it was found that one of the critical problem is the appreciate education tool for disabilities students. Students with special education have … …Journal of Computer Science, Vol. 9, Issue 10 · 18 Sep 2013 · 7,425 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Clusters Alignment for Bilingual Malay-English CorporaRayner Alfred, Chan Chen Jie, Ng Zhen Wei et al.Bilingual corpora, containing the same documents in two different languages, are becoming an essential resource for natural language processing. Clustering bilingual corpora provides us with an insight into the differences between languages when term frequency-based Information Retrieval (IR) tools are used. It also allows one to use the Natural Language Processing (NLP) and IR tools in one language to implement … …Journal of Computer Science, Vol. 8, Issue 12 · 26 Nov 2012 · 7,144 accessesView PDFCite
Research ArticleOpen accessIn the abstractFaculty Members and Students Perceptions of E-Learning in the English Department: A Project EvaluationHamad Al-DosariStatement of the Problem: With the brisk technology developments, e-learning is revolutionalising the educational industry by leaps and bounds, thus becoming a popular method of education for many universities and colleges around the world. In Saudi Arabian universities, there is a tangible presence of Web-based curricular provisions within the traditional university known as blended learning. There is a growing call … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 10,727 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Carbon Steel Pipe Protection Based on Radial Basis Function Neural NetworkSami Abulnoun AjeelProblem statement: The cost due to corrosion Damage have estimated to be 3-4% of their gross national product which significantly Countries problem around the world. Approach: In this study, a novel carbon steel pipe protection based on RBFNN was proposed. The RBFNN used to predict the minimum current density required in impressed current cathodic protection to protect low carbon steel … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 7,140 accessesView PDFCite