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129 results for “OO Paradigm”
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Research ArticleOpen accessIn the abstractA Comparative Classification of Aspect Mining ApproachesBounour Nora, Ghoul Said, Atil FadilaIn object oriented paradigm, the implementation of a concern is typically scattered over many locations and tangled with the implementation of other concerns, resulting in a system that is hard to explore and understand. Identifying such code automatically greatly improves both the maintainability and the evolveability of the application. Aspect mining aims to identify crosscutting concerns in existing systems, thereby … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,774 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 abstractA New Model for Multi-agent Case-base Reasoning SystemsAbdel Badeea Salem, Aldahoud Ali, Ibrahiem M. M. El EmaryMulti-Agent Systems (MASs) and Case-Based Reasoning (CBR) are two recent and hot paradigms in artificial intelligence field. CBR is a reasoning methodology based on old experience reasoning or similarity-based reasoning while MAS is a new paradigm to organize AI applications. CBR offers multi-agent systems the capability of autonomously learning from experience. This study examines the integration of CBR, MASs and … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 5,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Evolutionary Computing in Case Retrieval StageNabila Nouaouria-Amri, Med Tayeb LaskriCase Based Reasoning is a problem solving paradigm which is able to retrieve and reuse solutions that have worked for similar situations in the past. Past situations and their solutions are stored in a memory called case base. To find the good experiment in memory is the key of success in the reasoning. To identify adequate experiment in memory constitutes … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,738 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpirical Studies on Applications of Neural Networks as Approximation OracleK. K. Aggarwal, Yogesh Singh, Arvinder KaurExpected results are essential to any test design. In testing, an Oracle is a trusted source of expected results. This research examines the performance of Artificial Neural Network (ANN) as Approximation Oracle. The supervised learning paradigm has been used and found to be suitable for the purpose with the help of case studies. …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,628 accessesView PDFCite
Review ArticleOpen accessIn the abstractStructural Barriers to the Deployment of AI Foundation ModelsHristo Hristov, Elena Somova, Emil FuchedzhievArtificial Intelligence (AI) foundation models excel at benchmarks but are not always cost-effective or successfully deployed in enterprise systems. This paper analyzes the failures in their deployment through interconnected structural components characterized by: Economic constraints (computational costs, memory, and latency that scale with increasing use of AI model services), cognitive constraints (related to training objectives that optimize plausibility rather than … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 808 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Holistic Approach to Security, Availability and Reliability in Fog ComputingAbdulrahman Alshehri, Hazzaa Alshareef, Samah Alhazmi et al.Abdulkareem, K. H., Mohammed, M. A., Gunasekaran, S. S., Al-Mhiqani, M. N., Mutlag, A. A., Mostafa, S. A., Ali, N. S., & Ibrahim, D. A. (2019). A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues. IEEE Access, 7, 153123–153140. https://doi.org/10.1109/access.2019.2947542 Alrawais, A., Alhothaily, A., Hu, C., & Cheng, X. (2017). Fog Computing for the Internet … …Journal of Computer Science, Vol. 20, Issue 6 · 20 Mar 2024 · 6,372 accessesView PDFCite
Research ArticleOpen accessIn the abstractResidents Perceptions of the Economic Impacts of Hosting Mega Sports Events: A Cross-Sectional Study of Host Cities of AFCON 2022 in CameroonPaul Nkemngu Acha-AnyiEconomic incentives often constitute the thrustof galvanizing local community support for mega sports events. The purpose ofthis study was to explore the perceptions of residents of the AFCON 2022 hostcities on the economic impacts of the mega sports event on their lives and thecity. The cross-sectional study employed a quantitative research paradigmthrough the use of a questionnaire in collecting 1683 … …Journal of Social Sciences, Vol. 18, Issue 1 · 8 Nov 2022 · 6,679 accessesView PDFCite
Special issueAir-earth currentsAmerican Journal of Engineering and Applied Sciences · 1 Apr 2021
Research ArticleOpen accessIn the abstractExplosion of the Science Modification of Newtonian Dynamics Via Mach’s Inertia Principle and Generalization in Gravitational Quantum Bound Systems and Finite Range of the Gravity-Carriers, Consistent Merely On the Bosons and the FermionsMohsen LutephyNewtonian gravity is modified here via Mach's inertia principle (inertia fully governed by universe) and it is generalized to gravitationally quantum bound systems, resulting scale invariant fully relational dynamics (mere ordering upon actual objects), answering to rotation curves and velocity dispersions of the galaxies and clusters (large scale quantum bound systems), successful in all dimensions and scales from particle to … …Physics International, Vol. 11, Issue 1 · 10 Aug 2020 · 7,782 accessesView PDFCite