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Research ArticleOpen accessIn the abstractHybrid Method for Tagging Arabic TextYamina Tlili-GuiassaMany natural language expressions are ambiguous and need to draw on other sources of information to be interpreted. Interpretation of the word ﺗﻌﺎون to be considered as a noun or a verb depends on the presence of contextual cues. This study proposes a hybrid method of based- rules and a machine learning method for tagging Arabic words. So this method … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,700 accessesView PDFCite
Research ArticleOpen accessIn the abstracte-Learning Based on Context Oriented Semantic WebS. Hatem Muna, A. Ramadan Haider, C. Neagu DanielThe Semantic Web has opened new horizons for internet applications in general and for e-Learning in particular. The e-Learning community is aiming at having much more effective services than what is currently provided by any of the available computer aided tutoring, or learning management systems. The e-Learning process is no more restricted to providing courses online. Nowadays, knowledge is distributed … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 6,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Recursive Application of a Support Vector Machine for Protein Spot Detection in 2-Dimensional Gel ElectrophoresisGary D. Boetticher, Hisham Al-Mubaid, Karen Frasier-ScottTwo-dimensional polyacrylamide gel electrophoresis (2-D PAGE) analysis remains the core of proteomic technology because it is currently the most powerful method to analyze large collections of proteins. Advances in electrophoresis equipment are making this technique more accessible but effective computer assisted protein spot detection remains a very labor-intensive endeavor. Protein spot analysis is still time consuming, requires human intervention and … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,675 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,567 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Transfer Learning Approach for Student Attendance System During the COVID-19 PandemicSlimane Ennajar, Walid BouarifiMarking students' attendance has been a challenge during the COVID-19 pandemic. It is a time-consuming task due to the abnormally high number of students present during a learning session; many studies have been proposed to improve the system. However, there are still issues with each of these systems; we have employed deep transfer learning techniques using six pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 6,010 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoft Marking Scheme of SVM Hierarchical Classifiers for Attack ClassificationAzizi Abdullah, Warhamni Jani@MokhtarClassification is a predictive modelling problem that involves assigning a class label to an instance correctly. There exist several strategies in machine learning to deal with the multi-class classification problems for attack detection. One of the popular strategies is the one-vs-one that decomposes the multi-class problem into multiple binary ones. The approach has been applied in many popular supervised learning … …Journal of Computer Science, Vol. 17, Issue 9 · 27 Sep 2021 · 6,000 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Framework for Computerized Progress Feedback in Tertiary EducationAnnette van der Merwe, Tiny du Toit, Hennie KrugerThe dawn of democracy in South Africa in 1994 has resulted in challenges in many fields, especially in education. University enrolment rates are high and the output quality of school learners in general is delicate which threatens the graduate quality of tertiary institutions. Contrary to rising student enrolments, the attrition rates have not improved. One contributing factor is the lack … …Journal of Computer Science, Vol. 16, Issue 3 · 28 Mar 2020 · 6,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Virtual Classes on Students’ Performance in Open Learning Environments: The Case of Arab Open University, Saudi ArabiaKhaled Suwais, Ali AlshahraniOpen learning aims to deliver different educational services and activities for learners throughout an organised set of policies and procedures. The ultimate objective of such policies is to minimise the geographical and time limitations that might affect the students’ performance during his or her academic life. The Arab Open University in Saudi Arabia is one of the leading universities that … …Journal of Computer Science, Vol. 14, Issue 1 · 3 Jan 2018 · 8,893 accessesView PDFCite
Research NotesOpen accessIn the abstractEfforts to Know the Rate at which Students Analyze and Synthesize Information in Science and Social Science Disciplines: A Multidisciplinary Bio-Communication StudyDeni Darmawan, Yadi Ruyadi, Wamaungo Juma Abdu, Achmad HufadInformation processing is difficult to observe by most people because it involves self monitoring of one’s thinking. The process under which the cognitive functions is influenced by the rate at which different people analyze and synthesise information. However, though this is true, a measure of the speed in which information is processed is still new within the Indonesian perspective. Currently, … …OnLine Journal of Biological Sciences, Vol. 17, Issue 3 · 25 Aug 2017 · 7,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Study on E-Learning versus Traditional Learning among Electronics Engineering StudentsWai Kit Wong, Poh Kiat NgIn academia, it appears that many lecturers are still contented in using traditional lecturing methods. Cultivating the use of e-learning requires proper understanding of its difference with traditional learning. In this study, the difference between e-learning with traditional learning was descriptively and empirically investigated, with an emphasis on a module in Electronics Engineering known as Fundamentals of Operational Amplifier. This … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 27 Jun 2016 · 8,265 accessesView PDFCite