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301 articles for “Optimization Model”
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Research ArticleOpen accessEvery word in the titleModeling and Optimization of the Vortex Tube with Computational Fluid Dynamic AnalysisK.K. Zin, A. Hansske, F. ZieglerProblem statement: This study illustrated the influence of the Length to Diameter (L/D) on the fluid flow characteristics inside the counter-flow Ranque-Hilsch vortex tube predicted by Computational Fluid Dynamic (CFD) and validated through experiment. Approach: The swirl velocity, axial velocity, radial velocity component and also secondary circulation flow (back-flow) along with the pressure within the vortex tube were simulated and … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 7,828 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization Techniques for Variable Selection in Binary Logistic Regression Model Applied to Desire for Children DataS. K. Sarkar, Habshah MidiProblem statement: The population problem is the biggest problem in the world. In the global and regional context, Bangladesh population has drawn considerable attention of the social scientists, policy makers and international organizations. Bangladesh is now world’s 10th populous country having about 140 million people. The recent experience of Bangladesh shows that fertility can sustain impressive declines even when women’s … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,095 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization of Clock Tree Synthesis Under Stochastic Process Variation Modeling for Multi-FPGA SystemsKarthik Thirumalai Sampath, Jawahar Senthil Kumar VeerabadranIn this age of scientific computing, the experiment models and evaluation is a commonly employed rendition of the simulation methods. In addition to the optimality, the methods which depict underlying uncertainty in process variation. It is accomplished by adjusting number of samples on delay and wire width. Here addresses the thermal profile, if temperature gradually increases, also reduce worst case … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 29 Oct 2013 · 6,510 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimized YOLOv8 for Insect Detection in Agricultural Farms Using Edge Vision SystemsDeebalakshmi R., Adhithyaa S., Yoga Vignesh V., Balaji Ganesh RajagopalFarmers started to adopt smart gadgets like automated pest detection and kiosks for their work in light of the AI revolution in agriculture. These kinds of technologies help farmers identify pest infestations early, which allows the farmers to take action accordingly and prevent crop loss. This results in improvement in both yield and sustainability. However, running an advanced model such … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Jan 2026 · 2,640 accessesView PDFCite
Review ArticleOpen accessIn the keywordsMachine Learning Integration for Precise Facial Micro-Expression RecognitionViola Bakiasi Shtino, Markela Muça, Senada BushatiThis study advances facial micro-expression recognition through innovative machine-learning techniques, addressing critical needs in psychology, security, and human-computer interaction. The purpose of this study is to improve micro-expression recognition through the optimization of feature transformation and machine learning algorithms. We introduce a novel approach combining Kernel Principal Component Analysis (KPCA) and Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction, … …Journal of Computer Science, Vol. 20, Issue 11 · 22 Oct 2024 · 5,592 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Intelligent Approach to Develop, Assess and Optimize Energy Consumption Models for Air-Cooled Chillers using Machine Learning AlgorithmsMostafa Tahmasebi, Nabil NassifThe building sector accounts for more than 70% of the total electricity use. Chillers consume more than 50% of electrical energy during seasonal periods of building use. With the growth of the building sector and climate change, it's essential to develop energy-efficient HVAC systems that optimize the ever-increasing energy demand. This study aims to develop an energy consumption prediction model … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 8 Nov 2022 · 5,516 accessesView PDFCite
Literature ReviewOpen accessIn the keywordsTopological 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
Review ArticleOpen accessIn the keywordsUtilizing Large Language Models in Business Process Management: Applications and ChallengesMahmoud Boghdady Abdel Wahab, Sherif A. Mazen, Iman M. A. HelalLarge Language Models (LLMs) have recently been used in numerous domains, such as Business Process Management (BPM), which has significantly advanced. With LLMs' ability to understand language, reason, and tackle new challenges with minimal guidance, they offer an exciting opportunity to rethink and improve BPM practices. This systematic literature review examines insights from 42 peer-reviewed studies to understand how LLMs … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 4,462 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluating Patient Readmission Risk: A Predictive Analytics ApproachAvishek Choudhury, Dr. Christopher M. GreeneWith the emergence of the Hospital Readmission Reduction Program of the Center for Medicare and Medicaid Services on October 1, 2012, forecasting unplanned patient readmission risk became crucial to the healthcare domain. There are tangible works in the literature emphasizing on developing readmission risk prediction models; However, the models are not accurate enough to be deployed in an actual clinical … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 7 Dec 2018 · 8,155 accessesView PDFCite