Showing 1 - 20 results of 1,998 for search '(( data making algorithm ) OR ((( develop pso algorithm ) OR ( element data algorithm ))))', query time: 0.50s Refine Results
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    Risk element category diagram. by Yao Hu (3479972)

    Published 2025
    “…The LSTM algorithm can play a role in providing early warning, assisting decision-making, optimizing resources, and enhancing real-time monitoring in airport security assurance. …”
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    Design parameter for PSO SMC. by Nardos Belay Abera (19832190)

    Published 2024
    “…Then, the super twisting algorithm is used to develop a novel sliding mode control that mitigates chattering. …”
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    PSO parameters. by Saad Hammood Mohammed (20623506)

    Published 2025
    “…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…”
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    Convergence Curves of Different Algorithms. by Wenqin Wang (129400)

    Published 2025
    “…<div><p>In this work, a new Hybrid PSO-Whale Optimization (HPWO) algorithm is introduced to optimize energy consumption in slipform construction. …”
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    Feature Selection Parameters for GWO-PSO. by Saad Hammood Mohammed (20623506)

    Published 2025
    “…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…”
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    Flowchart of GA-PSO-BP neural network model. by Jining Wang (3369305)

    Published 2025
    “…To address this issue, the research employs a genetic-particle swarm optimization (GA-PSO) algorithm and develops a GA-PSO-BP neural network model through the integration of the BP neural network. …”
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    Feature selection using hybrid GWO-PSO. by Saad Hammood Mohammed (20623506)

    Published 2025
    “…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…”