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123 results for “e-learning effectiveness”

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Research ArticleOpen accessIn the abstractContent Based Image Retrieval of Ultrasound Liver Diseases Based on Hybrid ApproachR. Suganya, S. RajaramProblem statement: In the past few years, immense improvement was obtained in the field of Content-Based Image Retrieval (CBIR). Nevertheless, existing systems still fail when applied to medical image databases. Simple feature-extraction algorithms that operate on the entire image for characterization of color, texture, or shape cannot be related to the descriptive semantics of medical knowledge that is extracted from … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 24 Mar 2012 · 7,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractRural Students’ Skills and Attitudes Towards Information and Communication TechnologyHairulliza M. Judi, Hazilah M. Amin, Nor A.M. Zin, Rodziah LatihProblem statement: Despite various initiatives and programmes by the government to incorporate ICT in education, not much research has been done to evaluate the achievement of these initiatives and programmes, including ICT proficiency among students. This study fills in the gap of lack of current information pertaining to the Malaysian secondary school students’ ICT competencies, knowledge on internet and attitudes … …Journal of Social Sciences, Vol. 7, Issue 4 · 21 Oct 2011 · 7,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effects of Absorptive Capacity and Recipient Collaborativeness as Technology Recipient Characteristics on Degree of Inter-Firm Technology TransferA. W. Sazali, C. R. Raduan, U. Jegak, A. HaslindaProblem statement: As an efficient means to increase global competitiveness, technological capabilities and potential for local innovation, organizations in the developing countries are working hard to collaborate, learn and internalize their foreign partner’s technological knowledge by forming strategic alliances or International Joint Ventures (IJVs). Technology recipient characteristics, as one of the important actors/facilitators of inter-firm technology transfer, have increasingly become … …Journal of Social Sciences, Vol. 5, Issue 4 · 31 Dec 2009 · 7,801 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdoption of Peer-To-Peer Assessment in a Computing Skills CourseMansoor Al-A'aliThe process of peer-to-peer assessment brings great benefits to the teaching and learning process. This paper presents a peer assessment model which was applied to students enrolled in a generic computing skills course. In order to measure the effectiveness of this proposed model, students had to evaluate their colleagues based on predefined criteria and a comparison is presented between the … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 6,397 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeuropsychological Dysfunction among HIV Infected Drug AbusersRamani S. Durvasula, Charles H. HinkinHuman immunodeficiency virus (HIV) has been documented to cause direct and indirect central nervous system dysfunction that can be observed as a progressive decline in neuropsychological functioning in a large proportion of persons with HIV and AIDS. Neuropsychological decline in individuals with HIV is characterized by cognitive and motor slowing, attentional deficits, executive dysfunction and memory impairment (characterized by intact … …American Journal of Infectious Diseases, Vol. 2, Issue 2 · 30 Jun 2006 · 7,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Neural Network for Generating Adaptive LessonsHassina Seridi-Bouchelaghem, Toufik Sari, Mokhtar SellamiTraditional sequencing technology developed in the field of intelligent tutoring systems have not find an immediate place in large-scale Web-based education. This study investigates the use of computational intelligence for adaptive lesson generation in a distance learning environment over the Web. An approach for adaptive pedagogical hypermedia document generation is proposed and implemented in a prototype called KnowledgeClass. This approach … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 7,269 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAssessing the Comparative Effectiveness of Ensemble CatBoost Versus XGBoost Models in Predicting Heart Disease OutcomesManivannan D., G. Gifta Jerith, G. Chandra Sekhar et al.Cardiovascular Diseases (CVDs) are a common form of heart disease that remains a significant global cause of mortality, responsible for more than 30% of all fatalities. Without intervention, the global fatality count is projected to reach 22 million by 2030. Arterial plaque buildup may impede blood flow, potentially causing heart attacks or strokes. A combination of risk causes, including lack … …Journal of Computer Science, Vol. 22, Issue 4 · 4 May 2026 · 1,544 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFusing CNN Models for Improved Parkinson’s Disease Detection from Handwritten FeaturesSabrina Benredjem, Tahar MekhazniaNeurodegenerative Diseases (NGD) are a group of progressive neurological disorders, including cognitive decline as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) that result in the progressive loss of neuronal structure or function. This can lead to a variety of symptoms, in this study we are interested in PD one of the neurological diseases that causes the loss of dopamine-producing neurons … …Journal of Computer Science, Vol. 21, Issue 2 · 22 Jan 2025 · 6,306 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGenerating IoT Specific Anomaly Datasets Using Cooja Simulator (Contiki-OS) and Performance Evaluation of Deep Learning Model Coupled with Aquila OptimizerVandana Choudhary, Sarvesh Tanwar, Tanupriya ChoudhuryIn recent times, the massive expansion of the Internet of Things (IoT) has transformed various facets of everyday life and industries. The compelling cause behind the widespread adoption of IoT is the increasing availability of affordable, compact, and energy-efficient computing devices. While these devices offer significant benefits, they also raise substantial security and privacy challenges. Consequently, safeguarding IoT networks and … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 6,850 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Optimized YOLOv11-Based Deep Learning Framework With CNN Feature Enhancement for Tile Crack DetectionVinod Kumar Pal, Pankaj MudholkarThe tile business is a critical part of the national economic development, as it is one of the areas that provides employment, produces goods, and exports them. Regardless of its significance, there are challenges in the industry that are caused by issues with production, which in most cases is caused by low-quality materials used or by mishandling of the products … …Journal of Computer Science, Vol. 22, Issue 8 · 12 Aug 2026 · 979 accessesView PDFCite