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Showing 1 - 20 results of 124 for search '(( primary score model optimization algorithm ) OR ( binary b driven optimization algorithm ))', query time: 0.36s Refine Results
  1. 1
    Correlation heatmap of performance scores among different feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO.

    Correlation heatmap of performance scores among different feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. by Doaa Sami Khafaga (21463870)

    Published 2025
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  2. 2
    Density distribution plot of performance metrics for various feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO.

    Density distribution plot of performance metrics for various feature selection algorithms: bOcOA, bPSO, bGWO, bFA, bGA, and bWAO. by Doaa Sami Khafaga (21463870)

    Published 2025
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  3. 3
    The parameter settings of the RF algorithm after parameter optimization.

    The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

    Published 2025
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  4. 4
    Calibration plot of the apparent and optimism-corrected models.

    Calibration plot of the apparent and optimism-corrected models. by Dominika Szabo (14129304)

    Published 2022
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  5. 5
    Parameter optimization results of the RF model improved by FCM clustering.

    Parameter optimization results of the RF model improved by FCM clustering. by Xini Fang (20861990)

    Published 2025
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  6. 6
    Simulated annealing algorithm.

    Simulated annealing algorithm. by Muhammad Muneeb (3244095)

    Published 2022
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  7. 7
    Features selected by optimization algorithms.

    Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

    Published 2024
    “…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”
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  8. 8
    Score of evaluation level.

    Score of evaluation level. by Yixuan Lu (9987980)

    Published 2023
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  9. 9
    Expert scoring flow chart.

    Expert scoring flow chart. by Yixuan Lu (9987980)

    Published 2023
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  10. 10
    Expert scoring values of criterion layer U<sub>1</sub>.

    Expert scoring values of criterion layer U<sub>1</sub>. by Yixuan Lu (9987980)

    Published 2023
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  11. 11
    Architecture of proposed system model.

    Architecture of proposed system model. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  12. 12
    System model of the proposed method.

    System model of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  13. 13
    The robustness test results of the model.

    The robustness test results of the model. by Xini Fang (20861990)

    Published 2025
    “…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …”
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  14. 14
    Classification baseline performance.

    Classification baseline performance. by Doaa Sami Khafaga (21463870)

    Published 2025
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  15. 15
    Feature selection results.

    Feature selection results. by Doaa Sami Khafaga (21463870)

    Published 2025
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  16. 16
    ANOVA test result.

    ANOVA test result. by Doaa Sami Khafaga (21463870)

    Published 2025
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  17. 17
    Summary of literature review.

    Summary of literature review. by Doaa Sami Khafaga (21463870)

    Published 2025
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  18. 18
    Algorithms and evaluation metrics integrated in the COPS framework.

    Algorithms and evaluation metrics integrated in the COPS framework. by Teemu J. Rintala (19333003)

    Published 2024
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  19. 19
    Hybrid feature selection algorithm of CSCO-ROA.

    Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

    Published 2024
    “…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”
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  20. 20
    Proposed CVAE model.

    Proposed CVAE model. by Afnan M. Alhassan (18349378)

    Published 2024
    “…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”
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