يعرض 1 - 20 نتائج من 21 نتيجة بحث عن '(( binary image task optimization algorithm ) OR ( binary most objective optimization algorithm ))', وقت الاستعلام: 1.14s تنقيح النتائج
  1. 1

    Sample image for illustration. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
  2. 2

    Quadratic polynomial in 2D image plane. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
  3. 3
  4. 4

    Comparison analysis of computation time. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
  5. 5

    Process flow diagram of CBFD. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
  6. 6

    Precision recall curve. حسب Indhumathi S. (19173013)

    منشور في 2024
    "…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
  7. 7
  8. 8

    SHAP bar plot. حسب Meng Cao (105914)

    منشور في 2025
    "…According to the SHAP analysis of the optimal model, the most influential predictors are age, education level, and hemoglobin concentration.…"
  9. 9

    Sample screening flowchart. حسب Meng Cao (105914)

    منشور في 2025
    "…According to the SHAP analysis of the optimal model, the most influential predictors are age, education level, and hemoglobin concentration.…"
  10. 10

    Descriptive statistics for variables. حسب Meng Cao (105914)

    منشور في 2025
    "…According to the SHAP analysis of the optimal model, the most influential predictors are age, education level, and hemoglobin concentration.…"
  11. 11

    SHAP summary plot. حسب Meng Cao (105914)

    منشور في 2025
    "…According to the SHAP analysis of the optimal model, the most influential predictors are age, education level, and hemoglobin concentration.…"
  12. 12

    ROC curves for the test set of four models. حسب Meng Cao (105914)

    منشور في 2025
    "…According to the SHAP analysis of the optimal model, the most influential predictors are age, education level, and hemoglobin concentration.…"
  13. 13

    Display of the web prediction interface. حسب Meng Cao (105914)

    منشور في 2025
    "…According to the SHAP analysis of the optimal model, the most influential predictors are age, education level, and hemoglobin concentration.…"
  14. 14

    Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf حسب Cecilia Lindig-León (7889777)

    منشور في 2020
    "…In this way, for each binary problem, the CSP algorithm produces features to determine if the specific body part is engaged in the task or not. …"
  15. 15

    Thesis-RAMIS-Figs_Slides حسب Felipe Santibañez-Leal (10967991)

    منشور في 2024
    "…In the context of facies recovery using simulations, the task of optimal sampling is formalized and addressed using a maximum information extraction criterion. …"
  16. 16

    GSE96058 information. حسب Sepideh Zununi Vahed (9861298)

    منشور في 2024
    "…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
  17. 17

    The performance of classifiers. حسب Sepideh Zununi Vahed (9861298)

    منشور في 2024
    "…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
  18. 18

    Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. حسب Enrico Bertozzi (22461709)

    منشور في 2025
    "…<br>The consistency of the results across different kernels demonstrates that the information contained in the habitat, by itself, leads to a very simple optimal decision rule (mostly the prediction of the most frequent class per habitat), which cannot be improved solely by model adjustments. …"
  19. 19

    PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

    منشور في 2023
    "…This measurement was conducted by altering the number of desired corners from 2 to 20. The optimal number that produced the most favourable results in the preliminary differentiation was determined to be 5, which was subsequently selected and utilized for this measurement.…"
  20. 20

    Table 1_Creating an interactive database for nasopharyngeal carcinoma management: applying machine learning to evaluate metastasis and survival.docx حسب Yanbo Sun (2202439)

    منشور في 2024
    "…Objective<p>Nasopharyngeal carcinoma (NPC) patients frequently present with distant metastasis (DM), which is typically associated with poor prognosis. …"