Showing 21 - 40 results of 124 for search '(( binary ips driven optimization algorithm ) OR ( primary case based optimization algorithm ))', query time: 0.63s Refine Results
  1. 21

    Wilcoxon rank sum test results. by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
  2. 22

    Wilcoxon rank sum test results. by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
  3. 23

    Average number of selected features. by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
  4. 24

    S1 Data - by Guangwei Liu (181992)

    Published 2024
    “…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”
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    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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    Models’ performance without optimization. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…The findings indicate that the selected deep learning algorithms were proficient in forecasting COVID-19 cases, although their efficacy varied across different models. …”
  9. 29

    RNN performance comparison with/out optimization. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…The findings indicate that the selected deep learning algorithms were proficient in forecasting COVID-19 cases, although their efficacy varied across different models. …”
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  14. 34

    Bootstrap results for Case 1. by Muhammad Hamza (798822)

    Published 2024
    “…Regression models, on one side, optimize the prediction of the study variable’s non-sampled values while the classification algorithms, on the other side, look for the classification of non-sampled cases into different strata. …”
  15. 35

    Bootstrap results Case 2. by Muhammad Hamza (798822)

    Published 2024
    “…Regression models, on one side, optimize the prediction of the study variable’s non-sampled values while the classification algorithms, on the other side, look for the classification of non-sampled cases into different strata. …”
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    Performance metrics for BrC. 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. …”
  18. 38

    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. …”
  19. 39

    Proposed methodology. 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. …”
  20. 40

    Loss vs. Epoch. 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. …”