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Showing 1 - 20 results of 137 for search '(( final phase based optimization algorithm ) OR ( binary most _ optimization algorithm ))', query time: 0.45s Refine Results
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    WSN optimized by different algorithms. by Qingwen Meng (156386)

    Published 2025
    “…<div><p>This study develops an enhanced Secretary Bird Optimization Algorithm (ASBOA) based on the original Secretary Bird Optimization Algorithm (SBOA), aiming to further improve the solution accuracy and convergence speed for wireless sensor network (WSN) deployment and engineering optimization problems. …”
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    Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”
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    Model frame drawing. by Ning Zhao (84707)

    Published 2024
    Subjects:
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    Training process. by Ning Zhao (84707)

    Published 2024
    Subjects:
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    Data set parameters. by Ning Zhao (84707)

    Published 2024
    Subjects:
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    Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

    Published 2025
    “…The binary GWO algorithm identifies the most relevant features from </p><p dir="ltr">dermatological images, eliminating redundancy and reducing the computational burden. …”
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    Compare algorithm parameter settings. by Qingwen Meng (156386)

    Published 2025
    “…<div><p>This study develops an enhanced Secretary Bird Optimization Algorithm (ASBOA) based on the original Secretary Bird Optimization Algorithm (SBOA), aiming to further improve the solution accuracy and convergence speed for wireless sensor network (WSN) deployment and engineering optimization problems. …”
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    Proposed architecture testing phase. by Yasir Khan Jadoon (21433231)

    Published 2025
    “…The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. The trained model is employed in the testing phase for the feature extraction from the self-attention layer and passed to the shallow wide neural network classifier for the final classification. …”
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    The structure of the Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”
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    The bottleneck residual block for Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”