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Showing 1 - 20 results of 175 for search '(( final model year optimization algorithm ) OR ( binary wave driven optimization algorithm ))*', query time: 0.49s Refine Results
  1. 1
    Performance of the final model on the test set.

    Performance of the final model on the test set. by Amirmohammad Shahbandegan (14265549)

    Published 2022
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  2. 2
    Overall rankings of optimization algorithms.

    Overall rankings of optimization algorithms. by Máté Mohácsi (20469514)

    Published 2024
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  3. 3
    Overall rankings of single-objective optimization algorithms.

    Overall rankings of single-objective optimization algorithms. by Máté Mohácsi (20469514)

    Published 2024
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  4. 4
    Matlab code of a version using numerical optimization for Q.

    Matlab code of a version using numerical optimization for Q. by Hiroko Kato Solvang (5718250)

    Published 2024
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  5. 5
    R code for a version using numerical optimization for Q.

    R code for a version using numerical optimization for Q. by Hiroko Kato Solvang (5718250)

    Published 2024
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  6. 6
    ROC and PR curve of the final model trained using the complete training set.

    ROC and PR curve of the final model trained using the complete training set. by Amirmohammad Shahbandegan (14265549)

    Published 2022
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  7. 7
    I-NSGA-II-RF algorithm.

    I-NSGA-II-RF algorithm. by Xiaohua Zeng (793632)

    Published 2023
    “…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …”
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  8. 8
    The pareto front obtained by each algorithm.

    The pareto front obtained by each algorithm. by Xiaohua Zeng (793632)

    Published 2023
    “…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …”
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  9. 9
    Model coefficients for each feature.

    Model coefficients for each feature. by Amirmohammad Shahbandegan (14265549)

    Published 2022
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  10. 10
    CT prediction models results.

    CT prediction models results. by Amirmohammad Shahbandegan (14265549)

    Published 2022
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  11. 11
    DET curve comparison of FaceNet model with HE_FaceNet ramework.

    DET curve comparison of FaceNet model with HE_FaceNet ramework. by Zhigang Song (113445)

    Published 2025
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  12. 12
    ROC curve comparison of FaceNet model with HE_FaceNet ramework.

    ROC curve comparison of FaceNet model with HE_FaceNet ramework. by Zhigang Song (113445)

    Published 2025
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  13. 13
    ROC curves of single feature models.

    ROC curves of single feature models. by Amirmohammad Shahbandegan (14265549)

    Published 2022
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  14. 14
    An optimal solution for the HFS instance.

    An optimal solution for the HFS instance. by Xiang Tian (4369285)

    Published 2025
    “…Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …”
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  15. 15
    Model integration into the IT system to predict CT exams.

    Model integration into the IT system to predict CT exams. by Amirmohammad Shahbandegan (14265549)

    Published 2022
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  16. 16
    Hyperparameters search space and the top five best-performing models.

    Hyperparameters search space and the top five best-performing models. by Amirmohammad Shahbandegan (14265549)

    Published 2022
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  17. 17
    Input/Throughput/Output model of patient flow in the ED, adapted from [5].

    Input/Throughput/Output model of patient flow in the ED, adapted from [5]. by Amirmohammad Shahbandegan (14265549)

    Published 2022
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  18. 18
    The results of fitting conductance densities in the Hodgkin-Huxley model.

    The results of fitting conductance densities in the Hodgkin-Huxley model. by Máté Mohácsi (20469514)

    Published 2024
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  19. 19
    Original HIV mode of acquisition allocation based on an age cut-off of 10 years and an adjusted allocation incorporating the logic tree decision-making algorithm for the adolescent cohort (non-mothers), adolescent cohort (mothers) and additional mothers.

    Original HIV mode of acquisition allocation based on an age cut-off of 10 years and an adjusted allocation incorporating the logic tree decision-making algorithm for the adolescent... by Eda He (14675421)

    Published 2023
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  20. 20
    ROC curves of differently sized datasets.

    ROC curves of differently sized datasets. by Amirmohammad Shahbandegan (14265549)

    Published 2022
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