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derived optimization » driven optimization (Expand Search), required optimization (Expand Search), design optimization (Expand Search)
whale optimization » swarm optimization (Expand Search)
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Showing 1 - 11 results of 11 for search '(( binary psc derived optimization algorithm ) OR ( primary data whale optimization algorithm ))', query time: 0.53s Refine Results
  1. 1
    Section Channel classification (Binary classification part): Weights obtained by the optimised classification algorithm.

    Section Channel classification (Binary classification part): Weights obtained by the optimised classification algorithm. by Fabien Raphel (9421987)

    Published 2020
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  2. 2
    Total primary energy demand by fuel in China.

    Total primary energy demand by fuel in China. by Da Lian (18880882)

    Published 2024
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  3. 3
    Proposed model tuned hyperparameters.

    Proposed model tuned hyperparameters. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  4. 4
    The workflow of the proposed model.

    The workflow of the proposed model. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  5. 5
    ResNeXt101 training and results.

    ResNeXt101 training and results. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  6. 6
    Proposed model specificity and DSC outcomes.

    Proposed model specificity and DSC outcomes. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  7. 7
    Accuracy comparison of proposed and other models.

    Accuracy comparison of proposed and other models. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  8. 8
    Architecture of ConvNet.

    Architecture of ConvNet. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  9. 9
    Comparison of state-of-the-art method.

    Comparison of state-of-the-art method. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  10. 10
    Proposed model sensitivity outcome.

    Proposed model sensitivity outcome. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  11. 11
    Proposed ResNeXt101 operational flow.

    Proposed ResNeXt101 operational flow. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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