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Showing 121 - 140 results of 12,639 for search '(( algorithm python function ) OR ((( algorithm allows functional ) OR ( algorithm 1 function ))))', query time: 0.59s Refine Results
  1. 121
    Case 2 (50 × 40).

    Case 2 (50 × 40). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  2. 122
    Case 3 (100 × 10).

    Case 3 (100 × 10). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  3. 123
    Case 3 (100 × 10).

    Case 3 (100 × 10). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  4. 124
    Case 2 (50 × 40).

    Case 2 (50 × 40). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  5. 125
    Wavefield propagation and observed data.

    Wavefield propagation and observed data. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  6. 126
    Case 2 (50 × 40).

    Case 2 (50 × 40). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  7. 127
    Movements defined in the original Nelder-Mead Simplex.

    Movements defined in the original Nelder-Mead Simplex. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  8. 128
    The initial and final values for each PSO parameter in all application.

    The initial and final values for each PSO parameter in all application. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  9. 129
    Examples of the Hilbert curves.

    Examples of the Hilbert curves. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  10. 130
    Case 3 (100 × 10).

    Case 3 (100 × 10). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  11. 131
    The PF of ten comparative algorithms on the MMF12 test function.

    The PF of ten comparative algorithms on the MMF12 test function. by Wenxing Wu (16853002)

    Published 2025
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  12. 132
    The PF of ten comparative algorithms on the MMF14 test function.

    The PF of ten comparative algorithms on the MMF14 test function. by Wenxing Wu (16853002)

    Published 2025
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  13. 133
    The PS of ten comparative algorithms on the MMF14 test function.

    The PS of ten comparative algorithms on the MMF14 test function. by Wenxing Wu (16853002)

    Published 2025
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  14. 134
    Data_Sheet_1_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.docx

    Data_Sheet_1_Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors.docx by Pamela Vernocchi (791125)

    Published 2023
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  15. 135
    The workflow used to analyze imbalanced and balanced sequences.

    The workflow used to analyze imbalanced and balanced sequences. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  16. 136
    Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN).

    Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  17. 137
    Accuracy, sensitivity, specificity and F-score.

    Accuracy, sensitivity, specificity and F-score. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  18. 138
    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers.

    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  19. 139
    Performance of the Algorithm 1.

    Performance of the Algorithm 1. by Bogumił Kamiński (7827794)

    Published 2019
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  20. 140
    GO analysis bubble plot for module 1.

    GO analysis bubble plot for module 1. by Zongjin Li (38031)

    Published 2025
    “…This algorithm utilizes a graph network to represent the interaction information between genes, builds a GNN model, designs a loss function based on link prediction and self-supervised learning ideas for training, and allows each gene node to obtain a feature vector representing global information. …”
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