Search Results - (( developing secondary optimization algorithm ) OR ( java implication bat algorithm ))
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Optimal CC-CV charging of lithium-ion battery for charge equalization controller
Published 2023“…Charging (batteries); Controllers; DC-DC converters; Electric batteries; Electric inverters; Electric machine control; Electric vehicles; Equalizers; Ions; Lithium; Lithium alloys; Optimization; Particle swarm optimization (PSO); Secondary batteries; Static random access storage; Systems engineering; Charge equalization; Charging control; Charging techniques; Constant current; Energy storage applications; Particle swarm optimization algorithm; PI controller parameters; Vehicle development; Lithium-ion batteries…”
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New algorithm for gyroless spacecraft angular rate Estimation and its application
Published 2006“…A new algorithm for estimating the angular velocity using quaternion measurements is developed based on the concept of the global optimality resulting when using a centralized or master Kalman filter. …”
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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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Optimization of food waste to sewage sludge ratio for anaerobic co-digestion process using Artificial Neural Network (ANN) and Genetic Algorithm (GA)
Published 2021“…The trained ANN model was coupled with GA to optimize the methane production and to find the optimal feedstock ratio. …”
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Genetic Algorithm based Fuzzy Logic Controller for Optimal Charging-Discharging of Energy Storage in Microgrid applications
Published 2023Conference Paper -
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Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making
Published 2024“…The study’s primary objectives were to identify the determinants that impacted urban upper-secondary students' enrolment in Additional Mathematics within the Kuantan District, Pahang, Malaysia, and to develop a novel modified stacked ensemble statistical learning-based algorithm based on these determinants, following the CRISP-DM data science methodology. …”
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Development of intelligent evaluation system for product end-of-life selection strategy
Published 2011“…This study integrates the travelling salesman problem with genetic algorithm (TSP-GA) for finding the optimal disassembly sequence and disassembling the EOL product. …”
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Priority-based vehicle-to-grid scheduling for minimization of power grid load variance
Published 2023Article -
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Analyzing enrolment patterns: Stacked ensemble statistical learning-based approach to educational decision making
Published 2023“…The study’s primary objectives were to identify the determinants that impacted urban upper-secondary students' enrolment in Additional Mathematics within the Kuantan District, Pahang, Malaysia, and to develop a novel stacked ensemble machine learning algorithm based on these determinants, following the CRISP-DM data science methodology. …”
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Radiation dose, cancer risk and diagnostic performance of computed tomography pulmonary angiography examination
Published 2021“…Hence, this study aims to evaluate the radiation dose, cancer risk and image diagnostic performance of CTPA examination regarding primary and secondary optimization such as iterative reconstruction (IR) algorithm, tube potential and pitch factor selection. …”
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Dynamic approaches for spectrum control in cognitive radio networks
Published 2015“…Two artificial intelligence techniques are utilized which are Fuzzy Inference and Bayesian Inference. To optimize Fuzzy Inference scheduler, Genetic Algorithm is used. …”
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Optimal Sizing of PV-Battery based Hybrid Renewable System using Particle Swarm Optimization for Economic Sustainability
Published 2024Conference Paper -
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Development of a State-Space Observer for Active Noise Control Systems
Published 2009“…The criterions of success considered the evaluation process are the length of the propagation path, level of cancellation, convergence rate, number of modes of each path, and destructive interferences occur at the cancellation path. The secondary path of the ANC system is modeled by using the LMS algorithm to complete the design of the Filtered-X Least Mean Square (FXLMS) controller. …”
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The effect of human learning and forgetting on fuzzy EOQ model with backorders / Nima Kazemi
Published 2017“…Finally, the developed models were examined using both primary and secondary data sets. …”
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