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156 articles for “learning object”
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Research ArticleOpen accessIn the abstractPerformance Analysis for the Ontology based Intelligent Information Retrieval using Non Monotonic Inference Logic using SPARQLDr. Rajni Jindal, Alka SinghalThe paper proposes a model for the information retrieval system (E-library) for the learner, based on his current requirements and scenario. It follows a brokerage model using non monotonic logic utilizing semantics and ontology for object description. Ontology captures the learning object properties which can help in eliminating and evaluating the usefulness of the object for a given learner. Non … …Journal of Computer Science, Vol. 13, Issue 12 · 2 Nov 2017 · 6,620 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Exploratory Analysis to Assess Computer Literacy and E-learning Among Students: A Case of Eastern Province of Kingdom of Saudi ArabiaManal Elobaid, Rafida M. ElobaidThe current study investigated the use of ICT within the schools and higher education sectors in the eastern province of kingdom of Saudi Arabia. The objective is to evaluate how computer literacy and the implementation of e-learning could contribute to the learning and teaching process within the education sector in this area. A cross sectional survey was carried out among … …Journal of Computer Science, Vol. 13, Issue 9 · 23 Aug 2017 · 8,199 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Self-Concept Participatory Learning Model for the Improvement of Literacy Skills of the Learners in Community Learning CentresMumun Munawaroh, Dasim Budimansyah, Enceng Mulyana, Ace SuryadiIlliteracy eradication manifests as an important and a common aspect in many countries' development agendas as well as in the United Nation's development initiatives. Indonesia is one of such countries. Based on the data of 2004, Indonesia has at least 28 regencies that still have high illiteracy rates. This condition hinders national growth and development of a country. With a … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 21 Jan 2017 · 7,427 accessesView PDFCite
Literature ReviewOpen accessIn the abstractMachine Learning Software Architecture and Model Workflow. A Case of Django REST FrameworkKennedy Ochilo Hadullo, Daniel Makini GetunoThe purpose of this study was to find out the challenges facing Machine Learning (ML) software development and create a design architecture and a workflow for successful deployment. Despite the promise in ML technology, more than 80% of ML software projects never make it to production. As a result, majority of companies around the world with investments in ML software … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 28 Jul 2021 · 8,617 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Preparation in Machine Learning for Condition-based MaintenanceOns Masmoudi, Mehdi Jaoua, Amel Jaoua, Soumaya YacoutUsing Machine Learning (ML) prediction to achieve a successful, cost-effective, Condition-Based Maintenance (CBM) strategy has become very attractive in the context of Industry 4.0. In other fields, it is well known that in order to benefit from the prediction capability of ML algorithms, the data preparation phase must be well conducted. Thus, the objective of this paper is to investigate … …Journal of Computer Science, Vol. 17, Issue 6 · 4 Jun 2021 · 8,419 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy PlantThangaraj Ethilu, K. Parthiban, Arockia Jayadhas S et al.Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision-based disease detection systems identify infections only after symptom manifestation, while conventional machine learning prediction models suffer from high computational demands, data preprocessing requirements, and noise sensitivity. This research proposes a novel Hierarchical Temporal … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistributed Vehicle Tracking System Using Image Processing TechniquesIehab Abdul Jabbar Kamil, Mohanad Abdulsalam Al-AskariIn this part of the research, an implementation of a distributed vehicle tracking system that uses image processing techniques for real-time automobile surveillance is done. The system uses OpenCV, Pytesseract and Optical Character Recognition (OCR) for the extraction of the license plate information from vehicle images to identify and track vehicles. By doing so, distributed computing enables the system to … …Journal of Computer Science, Vol. 21, Issue 8 · 9 Oct 2025 · 2,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Design of Environmental-Based Learning to Instill Land Ethics in the LearnersEpon Ningrum, Ahmad YaniThough environment is universal, there are different perspectives under which it can be described. For instance, in learning, an environment is viewed as one of the learning components and aspects which help to actualise learning. An environment in its empirical form has potential characteristics which facilitate transformational learning efforts. This paper is based on the arguement that, if a learning … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 26 Dec 2016 · 7,171 accessesView PDFCite
Research ArticleOpen accessIn the abstractGamification in E-Learning: Introducing Gamified Design Elements into E-Learning SystemsDaniel Strmečki, Andrija Bernik, Danijel RadoševićGamification is the usage of game mechanics, dynamics, aesthetics and game thinking in non-game systems. Its main objective is to increase user’s motivation, experience and engagement. For the same reason, it has started to penetrate in e-learning systems. However, when using gamified design elements in e-learning, we must consider various types of learners. In the phases of analysis and design … …Journal of Computer Science, Vol. 11, Issue 12 · 11 Feb 2016 · 11,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractVIRTUAL MINING MODEL FOR CLASSIFYING TEXT USING UNSUPERVISED LEARNINGS. Koteeswaran, E. Kannan, P. VisuIn real world data mining is emerging in various era, one of its most outstanding performance is held in various research such as Big data, multimedia mining, text mining etc. Each of the researcher proves their contribution with tremendous improvements in their proposal by means of mathematical representation. Empowering each problem with solutions are classified into mathematical and implementation models. … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 20 Feb 2014 · 6,591 accessesView PDFCite