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91 articles for “integrating model”
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Research ArticleOpen accessIn the abstractDecision Support Model for Determining the Best Employee using Fuzzy Logic and Simple Additive WeightingLucky Christopher Chen, Ditdit Nugeraha UtamaSpecifically, for an information technology company, identifying the best employees (the best programmers) is valuable. The election is intended to improve the performance of the company's programmers. The company's performance will improve as programmers' performance improves. This study attempts to develop a Decision Support Model (DSM) to identify the best employees (i.e., programmers) in the firm. The model considered nine … …Journal of Computer Science, Vol. 18, Issue 6 · 24 Jun 2022 · 6,100 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractFew-shot Fine-tuning of BERT Multilingual for Hindi Word Sense DisambiguationShailendra Kumar Patel, Rakesh Kumar, Anuj Kumar SirohiWord Sense Disambiguation (WSD) is a fundamental task in Natural Language Processing (NLP), addressing the challenge of identifying correct word meanings in context. This task is particularly complex for morphologically rich and resource-limited languages like Hindi, which exhibit significant lexical ambiguity compounded by limited availability of annotated corpora. To address these challenges, we propose a supervised approach combining the multilingual … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Dec 2025 · 2,250 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Sistem Komunikasi Markas (Siskomma) in IS/IT Architecture Planning to Face Modern Warfare: A TOGAF Based Approach for National Defense Data Integration in the Indonesian ArmyYosua Dwimaryanto Budi Prawiro, Nilo LegowoIn the era of modern warfare, effective Information Systems (IS) and Information Technology (IT) architecture planning are essential for the Indonesian Army to maintain a competitive edge. This paper presents a comprehensive approach to IS/IT architecture planning, focusing on integrating national defense data within the Indonesian Army organization. Utilizing the TOGAF (The Open Group Architecture Framework) approach, the research aligns … …Journal of Computer Science, Vol. 21, Issue 8 · 24 Nov 2025 · 1,829 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Talent Sourcing Through Advanced Skill Profiling TechniqueAmey Krishnanath Shet Tilve, Gaurang Sitaram Patkar, Vadiraj Gururaj Inamdar et al.The hiring process often struggles with aligning job seekers' skills to employers' requirements, leading to inefficiencies and mismatches. To address this challenge, a dual-functionality system is proposed that leverages Natural Language Processing (NLP) techniques, including BERT for embedding textual information and cosine similarity to rank resumes according to their alignment with job descriptions and to recommend suitable candidates to employers … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractConvSVD++: A Hybrid Deep CF Recommender Model using Convolutional Neural NetworkMohamed Grida, Lamiaa Fayed, Mohamed HassanRecommender systems are powerful systems that give added value to business and corporation. They are relatively recent technology and they will only keep improving in the future. The most widely used algorithms for recommender systems are categorized into the traditional recommender and deep-based recommender system. The traditional recommendation algorithm suffers from sparse data that significantly degrades recommendation accuracy. The hybrid … …Journal of Computer Science, Vol. 16, Issue 12 · 13 Jan 2021 · 6,731 accessesView PDFCite
Literature ReviewOpen accessIn the abstractTopological Approaches to Mechatronic Systems: A ReviewJean Bosco Samon, Damasse Harold TchouazongAn interest in the mechanical topology approach is to reduce the mass considerably in order to minimize the costs of manufacturing, transporting and purchasing products. The same interest can be found in mechatronic topological approaches where many disciplines should be fit together, facing therefore many and variant constraints. Distinguish topological approaches are found in the literature. Many are more specific … …Journal of Mechatronics and Robotics, Vol. 6, Issue 1 · 24 Jan 2022 · 6,707 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Influencing Student Individual Performance of University XYZ Through the Use of Mobile Learning Management SystemStanley Limonthy, Evaristus Didik MadyatmadjaThis study investigates the impact of unsupervised learning within mobile Learning Management Systems (LMS) on student individual performance at university XYZ, Indonesia. We conducted data collection through online questionnaires distributed to university XYZ students and employed Partial Least Squares Structural Equation Modeling (PLS-SEM) for analysis. Our research extends the information system success model by integrating pedagogical and technological dimensions, specifically … …Journal of Computer Science, Vol. 20, Issue 3 · 27 Jan 2024 · 4,982 accessesView PDFCite
Research ArticleOpen accessIn the abstractComprehensive Assessment of Spatial Distribution of Road-Network Vulnerability in South AsiaPan Yuqi, Jiang Penghui, Li Manchun, Chen DengshuaiUnexpected phenomena-natural disasters, accidents and wars-can disrupt regional traffic systems because of the incapacities of road networks to sustain inflicted impacts. Therefore, the assessment of road-network vulnerability becomes integral to traffic-safety-maintenance and accident-prevention procedures. This study demonstrates the development of a comprehensive network system based on suggested improvements in node extraction, road construction and network attribution. An indicator system for … …American Journal of Environmental Sciences, Vol. 17, Issue 6 · 24 Dec 2021 · 6,446 accessesView PDFCite
Research ArticleOpen accessIn the abstractDual-Branch Shape Texture Learning With Pyramid Residual and Sobel Edge Layers for Rice Variety ClassificationM Pradeep, M SiddappaAutomated rice variety classification categorizes rice types based on features, such as grain texture, shape, color, and size. Traditional handcrafted feature-based models fail at rice classification due to lighting variations, background noise, and environmental conditions, leading to overlapping visual characteristics and frequent misclassification. To address these challenges, this research proposes a novel Dual-Branch Convolutional Neural Network with Pyramid Residual Units … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 627 accessesView PDFCite