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230 results for “research framework”
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Research ArticleOpen accessIn the abstractPerformance Monitoring of Energy Flow in the Power Transmission and Distribution System Using Grid ComputingC. Senthamarai, A. Krishnan, R. HemalathaGrid Computing is a promising infrastructure and technology that involves the integrated and collaborative use of Computers, networks, databases and scientific instruments owned and managed by multiple organizations. In this context our research primarily aims at developing an application framework for monitoring the Performance of Power Transmission and Distribution System using Grid Computing. Power Transmission and Distribution System of Electrical … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,589 accessesView PDFCite
Research ArticleOpen accessIn the abstractInterpretive Perspective of Knowledge Management Stance in Agricultural Knowledge Information System to Fostering Research/Extension LinkageIraj MalekmohammadiProblem statement: Knowledge Management (KM) as a "starter" and Agricultural Knowledge Information System (AKIS) act as an "engine" to sustainable development. Approach: This article explored the role of KM as Agricultural Knowledge Initiative (AKI) to link up agricultural research and extension to foster agricultural development. A dominant-less dominant design was applied to describe the KM and AKIS integration frameworks as … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneral Approach for Formulating a Digital Transformation StrategyZineb Korachi, Bouchaib BounabatTo take advantage of information technologies, organizations need to define a clear strategy. Numerous works have provided definitions and phases of digital strategies. Some of these strategies are context-specific, while others deal with the common elements of digital strategies regardless of the digital transformation context. However, these works do not address a holistic approach. This raises ambiguity regarding digital strategy … …Journal of Computer Science, Vol. 16, Issue 4 · 27 Apr 2020 · 10,878 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Literature Review of Software Defect Prediction Using Deep LearningAhmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin et al.The approaches associated with software defect prediction are used to reduce the time and cost of discovering software defects in source code and to improve the software quality in the organizations. There are two approaches to reveal the software defects in the source code. The first approach is concentrated on the traditional features such as lines of code, code complexity, … …Journal of Computer Science, Vol. 17, Issue 5 · 22 May 2021 · 10,973 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSemantic Forensic Investigation Framework for Drone FieldOmair AmeerbakhshThe application of Unmanned Aerial Vehicles (UAVs) is extensive, with uses ranging from smart agriculture to photography, maintaining infrastructure, and disaster recovery. However, incidents involving unmanned aerial vehicles are increasing daily due to their widespread use in smart technologies. Therefore, this study focuses on the ground of drone forensic investigation to capture and investigate incidents involving unmanned aerial vehicles. To … …Journal of Computer Science, Vol. 19, Issue 2 · 29 Jan 2023 · 6,226 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Machine Learning Framework for Strategic Gameplay Optimization in Scrabble Using Reinforcement LearningMohd Kaleem, Kanta Prasad Sharma, Tapsi Nagpal et al.This paper explores and compare various artificial intelligence-based techniques used for playing classic board game Scrabble. As the world is evolving around finding quick and efficient techniques for the solution of each problem using Machine learning, gaming industry is also a flourishing industry and has grown 9.8% compared to previous year and has generated a revenue of 26.14 billion dollars … …Journal of Computer Science, Vol. 22, Issue 9 · 22 Sep 2026 · 682 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEW-GAT: Edge-Weighted Graph Attention Framework for Patient-Aware Heart Disease Classification Using Feature-to-Feature Similarity GraphsRamakrishna Reddy Badveli, Nijaguna Gollara Siddappa, Sundeep Kumar KanipakapatnamHeart disease remains an important cause of global death, requiring accurate and clinically interpretable prediction models. However, traditional Machine Learning (ML) methods often fail to capture meaningful dependencies among clinical features and lack robustness across diverse patient populations. To overcome these issues, this research introduces an Edge-Weighted Graph Attention Network (EW-GAT) for patient-aware heart disease classification. The approach first models … …Journal of Computer Science, Vol. 22, Issue 7 · 25 Jul 2026 · 920 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Context Aware Deep Learning Framework for Multi-Level Arabic Fake News Detection Using Hybrid Linguistic RepresentationsNoor Mahmoud Alkudah, Somia Abufakher, Raja Masadeh et al.The rapid spread of false information on social media has made it even more important to be able to spot false news, especially in Arabic-speaking areas where language is more complicated and news is organized in a hierarchy. Recent research show that deep learning and transformer-based models work well, but most of them only look at performance metrics and don't … …Journal of Computer Science, Vol. 22, Issue 3 · 27 Mar 2026 · 1,577 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordHybrid Machine Learning Framework with Data Analytics Model for Privacy-Preserved Intelligent Predictive Maintenance in Healthcare IoTArun Ganji, D. Usha, P.S. RajakumarFederated Learning (FL) is a cutting-edge approach for developing machine learning (ML) models using distributed datasets while preserving data privacy and ownership. FL is particularly suited for Internet of Things (IoT) networks due to its decentralized nature, which supports In-Edge AI and maintains data locality. However, FL's complexity poses challenges in analyzing system health, making it crucial to develop robust … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Nov 2024 · 5,830 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Method for Fast and Robust Intensity Based 2D/3D Registration in Differentiable FrameworkAgung Alfiansyah, Izzati Muhimmah, Arif Sasongko et al.This study introduces an innovative intensity-based registration method designed to align 3D image data volumes, such as Computed Tomography (CT), with 2D data, such as X-ray images, a crucial component of intra-operative navigation in image-guided surgery. Leveraging advanced autodifferentiable reconstruction techniques based on the GPU-accelerated Siddon algorithm, the proposed approach facilitates the generation of differentiable Digitally Reconstructed Radiographs (DRRs), enabling … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 4,825 accessesView PDFCite