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88 articles for “Online Learning”

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Research ArticleOpen accessIn the abstractStatistical Bayesian Learning for Automatic Arabic Text CategorizationBassam Al-Salemi, Mohd. Juzaiddin Ab AzizProblem statement: The rapid increasing of online Arabic documents necessitated applying Text Categorization techniques that are commonly used for English language to categorize them automatically. The complex morphology of Arabic language and its large vocabulary size make applying these techniques directly difficult and costly in time and effort. Approach: We have investigated Bayesian learning models in order to enhance Arabic … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,399 accessesView PDFCite
Research ArticleOpen accessIn the abstractMalaysian Students' Preferences to Online Products and Services on the Internet: An empirical studyPaul H.P. Yeow, Ali Khatibi, Jayanty KuppusamyThe study aims to discover the preferences of Student Internet Users (SIUs) for Online Products and Services (OPS) and research into the demographic factors that affect SIUs’ preferences. A questionnaire survey was conducted on 800 SIUs from private institutions of higher learning in Malaysia, an Industrially Developing Country (IDC). Parametric statistical methods were used to analyze the survey data. It … …Journal of Social Sciences, Vol. 4, Issue 2 · 30 Jun 2008 · 7,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractAVUNET Author: An Authoring System for Distance Learning PlatformLamri Douidi, Mahieddine Djoudi, Chabane KhentoutAn authoring system was presented in this study, “AVUNET Author” which allows the creation of interactive learning object within a distance teaching platform on the Internet. For the conception of this system, we stated with the assumption that the content of distance teaching is not just to put online the content used for classroom teaching. In addition to the classical … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,756 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 abstractE-Learning under WebCTZ. A. Al-Khanjari, N. S. Kutti, H. A. RamadhanWith the introduction of Web-Based Instruction (WBI) the traditional classroom-based higher education could be made more effective form of instruction. But the studies have shown the negative results[1]. On the other hand the distance education has derived the direct benefit of WBI through extending classroom instruction in online to reach every remote student. However researchers have identified reasons for the … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 6,320 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Ontological Approach for Dental Extraction Decision Making and Knowledge Dissemination – A Pilot Study for Dental Extraction ForcepsShanmuganathan Vasanthapriyan, Kuhaneswaran BanujanTooth extraction is one of the most usual surgical procedure in the field of dental. Not having proper knowledge of tooth and extraction instruments may cause too much complexity in extraction procedure or even some damages to patients’ jaws. Mainly when using extraction forceps, the proper forceps should be used according to the teeth and the situation. So, it is … …Journal of Computer Science, Vol. 15, Issue 6 · 24 Jun 2019 · 7,417 accessesView PDFCite
Review ArticleOpen accessIn the abstractMultimodal Sentiment Analysis: A Comparison StudyIntisar O. Hussien, Yahia Hasan JazyahSentiments and emotions play a pivotal role in our daily lives. They assist decision making, learning, communication and situation awareness in human environments. Sentiment analysis is mainly focused on the automatic recognition of opinions’ polarity, as positive or negative. Nowadays, sentiment analysis is replacing the old web based survey and traditional survey methods that conducted by deferent companies for finding … …Journal of Computer Science, Vol. 14, Issue 6 · 11 Jun 2018 · 9,904 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvolving Fuzzy Neural Network for Phishing Emails DetectionAmmar ALmomani, Tat-Chee Wan, Altyeb Altaher et al.One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been trained on old dataset, not included in black list. Accordingly, the current paper seeks to Detection and Prediction of unknown “zero-day” phishing Emails by provide a new … …Journal of Computer Science, Vol. 8, Issue 7 · 4 Jun 2012 · 8,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvolution of Neural Controllers for Robot Navigation in Human EnvironmentsGenci Capi, Hideki TodaProblem statement: In this study, we presented a novel vision-based learning approach for autonomous robot navigation. Approach: In our method, we converted the captured image in a binary one, which after the partition is used as the input of the neural controller. Results: The neural control system, which maps the visual information to motor commands, is evolved online using real … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 6,784 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIntegrating (OLAP) Online Analytical Processing With a Fast Algorithm for Epileptic Seizures DetectionIlyas Zidane, Wajih Rhalem, Nordine ZidaneEpilepsy is a neurological disorder characterized by recurrent seizures, significantly impacting the quality of life of patients. Effective detection and analysis of epileptic seizures are crucial for timely intervention and management. This paper presents the integration of a fast algorithm for epileptic seizures detection with an OLAP (Online Analytical Processing) system using a star schema data warehouse model. By leveraging … …Journal of Computer Science, Vol. 22, Issue 10 · 12 Oct 2026 · 678 accessesView PDFCite