Search Results - (( developing state maximization algorithm ) OR ( java implication based algorithm ))
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Visualization of dengue incidences using expectation maximization (EM) algorithm
Published 2017“…R-GIS(R software) and clustering algorithm were used for year 2014 with several weeks to develop the relation between the visualization and prediction of reported incidences. …”
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Stochastic optimal control of economic growth model under research and development investment with Kalman filtering approaches
Published 2022“…These approaches aim to estimate the state dynamics from different perspectives. With these state estimates, two different computational algorithms are proposed, the EKF for state-control (EKF4SC) and UKF for state-control (UKF4SC) algorithms. …”
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Hybrid multi-objective optimization methods for in silico biochemical system production
Published 2016“…This study aims to design and develop an optimization method that efciently and effectively maximizes the biochemical system production and minimizes the total component concentrations involved simultaneously. …”
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Particle swarm optimization based maximum power point tracking for Partially Shaded Photovoltaic Arrays
Published 2016“…As such, investigation on PSO-P&O algorithm is carried out to maximize the PV generated power principally under PSC operation. …”
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Particle swarm optimization based maximum power point tracking for partially shaded photovoltaic arrays
Published 2016“…As such, investigation on PSO-P&O algorithm is carried out to maximize the PV generated power principally under PSC operation. …”
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Real-time Cascading Reservoirs Operation using the Genetic Algorithm and Seasonally Varied Models
Published 2013“…Accordingly, the study aimed to improve the hydroelectric power generation of the scheme. The genetic algorithm and the seasonally varied models have been developed to maximize the annual hydroelectric power generation of the Perak cascading reservoir. …”
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Simulation analysis for maximizing renewable solar energy to improve the power generation capacity in the state of Kuwait
Published 2018“…This paper aims to present how to improve power generation capacity in the State of Kuwait through simulation analysis for maximizing the usage of renewable energy applications. …”
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Proceeding Paper -
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Power improvement of solar photovoltaic (PV) based on maximum power point tracking (MPPT) controller / Siti Munirah Ahmad Saad
Published 2018“…This MPPT using perturb and observe algorithm, the algorithm are general algorithm and use as a code. …”
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Fuzzy logic-based hill climbing technique for photovoltaic maximum power point tracking converter
Published 2013“…Then, the proposed MPPT algorithm and dc-dc boost converter were designed and developed in the same tool. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
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Final Year Project / Dissertation / Thesis -
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Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization
Published 2025“…These outcomes reflect average improvements of 16.41%, 5.36%, 3.45%,2.371%,2.80%, and 2.18%, respectively, compared to other state-of-the-art methods. These metrics emphasize the effectiveness of ICGWO in maximizing network coverage and connectivity. …”
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Optimization of Maximum Power Point Tracking (MPPT) of Photovoltaic System using Artificial Intelligence (AI) Algorithms
Published 2013“…In this paper, starting from the set of equations modeling a PV module, an innovative procedure to optimize the performance and efficiency of the MPPT algorithms is presented, simulated and verified. Artificial intelligence algorithms, specifically PSO and PSO combined with Incremental conductance algorithm, are used to achieve the stated goals. …”
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Efficient radio resource management algorithms for downlink long term evolution networks
Published 2018“…Our algorithms prolong the battery life by adjusting the base station using initial and final states. …”
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Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi
Published 2025“…Finally, a State-Action-Reward-State-Action (SARSA) algorithm, which is a reinforcement learning approach, is proposed to solve the power allocation optimization problem. …”
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Novel vector control method for three-stage hybrid cascaded multilevel inverter
Published 2011“…The novelty of the proposed algorithm is to avoid the undesirable high switching frequency for high- and medium-voltage stages despite the fact that the inverter's dc sources are selected to maximize the inverter levels by eliminating redundant voltage states. have been developed to assure fundamental switching frequency operation of the high-voltage stages and not more than few times this frequency for the medium-voltage stage. …”
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Moth flame optimization maximum power point tracking algorithm for photovoltaic system under partial shaded conditions
Published 2022“…The study aims to identify the performance of MFO based MPPT algorithm under partial shaded conditions. A simulation model of MFO based MPPT algorithm was developed and implemented with DC/DC boost converter in MATLAB Simulink. …”
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Conference or Workshop Item -
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Dual vector control strategy for a three-stage hybrid cascaded multilevel inverter
Published 2010“…The distinctive feature of the proposed algorithm is its ability to avoid the undesirable high switching frequency for high- and medium- voltage stages despite the fact that the inverter's dc sources voltages are selected to maximize the number of levels by state redundancy elimination. …”
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