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driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
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Showing 1 - 11 results of 11 for search '(( binary mapk driven optimization algorithm ) OR ( binary demand model optimization algorithm ))', query time: 0.41s Refine Results
  1. 1
    The illustration depicts our CQ-CNN architecture for binary image classification.

    The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

    Published 2025
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  2. 2
    Statistical summary of all models.

    Statistical summary of all models. by Amal H. Alharbi (21755906)

    Published 2025
    “…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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  3. 3
    Classification performance of ML and DL models.

    Classification performance of ML and DL models. by Amal H. Alharbi (21755906)

    Published 2025
    “…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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  4. 4
    Classification performance after optimization.

    Classification performance after optimization. by Amal H. Alharbi (21755906)

    Published 2025
    “…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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  5. 5
    ANOVA test for optimization results.

    ANOVA test for optimization results. by Amal H. Alharbi (21755906)

    Published 2025
    “…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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  6. 6
    Wilcoxon test results for optimization.

    Wilcoxon test results for optimization. by Amal H. Alharbi (21755906)

    Published 2025
    “…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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  7. 7
    Wilcoxon test results for feature selection.

    Wilcoxon test results for feature selection. by Amal H. Alharbi (21755906)

    Published 2025
    “…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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  8. 8
    Feature selection metrics and their definitions.

    Feature selection metrics and their definitions. by Amal H. Alharbi (21755906)

    Published 2025
    “…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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  9. 9
    Feature selection results.

    Feature selection results. by Amal H. Alharbi (21755906)

    Published 2025
    “…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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  10. 10
    ANOVA test for feature selection.

    ANOVA test for feature selection. by Amal H. Alharbi (21755906)

    Published 2025
    “…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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  11. 11
    Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png

    Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png by Minjin Guo (22751300)

    Published 2025
    “…</p>Results and Discussion<p>Experimental evaluation across varied athlete cohorts demonstrates superior performance in risk stratification accuracy, diagnostic plausibility, and model transparency compared to traditional screening algorithms. …”
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