يعرض 1,561 - 1,580 نتائج من 1,946 نتيجة بحث عن 'objective optimization algorithm', وقت الاستعلام: 0.18s تنقيح النتائج
  1. 1561

    Proposed model training parameters. حسب M. Amudha (20390830)

    منشور في 2024
    "…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
  2. 1562

    Input image and extracted features maps. حسب M. Amudha (20390830)

    منشور في 2024
    "…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
  3. 1563

    Correlation heat map for feature selection. حسب M. Amudha (20390830)

    منشور في 2024
    "…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
  4. 1564

    Layer wise structure complexity reduction. حسب M. Amudha (20390830)

    منشور في 2024
    "…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
  5. 1565

    Accuracy change vs. ELM layers pruning rate. حسب M. Amudha (20390830)

    منشور في 2024
    "…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
  6. 1566

    Characteristic and limitations of existing work. حسب M. Amudha (20390830)

    منشور في 2024
    "…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
  7. 1567

    Working procedure of ELM classifier network. حسب M. Amudha (20390830)

    منشور في 2024
    "…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
  8. 1568

    Proposed CNN (EHO+HOBS-ELM) architecture. حسب M. Amudha (20390830)

    منشور في 2024
    "…Firstly, an Elephant Herding Optimization (EHO) algorithm selects pertinent features for classification tasks. …"
  9. 1569

    Performance comparison of NGNDG-AF, ReLU and ELU. حسب Ali Raza (3558965)

    منشور في 2025
    "…The objectives of this study were to develop reliable optimized <i>CNN</i> prediction models for skin cancer classification, to handle the severe class imbalance problem where skin cancer class was found to be much smaller than the healthy class. …"
  10. 1570

    AUC of ResNet152V2 CNN with Adam for <i>β</i> = 1. حسب Ali Raza (3558965)

    منشور في 2025
    "…The objectives of this study were to develop reliable optimized <i>CNN</i> prediction models for skin cancer classification, to handle the severe class imbalance problem where skin cancer class was found to be much smaller than the healthy class. …"
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  13. 1573
  14. 1574

    SHAP bar plot. حسب Meng Cao (105914)

    منشور في 2025
    "…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
  15. 1575

    Sample screening flowchart. حسب Meng Cao (105914)

    منشور في 2025
    "…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
  16. 1576

    Descriptive statistics for variables. حسب Meng Cao (105914)

    منشور في 2025
    "…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
  17. 1577

    SHAP summary plot. حسب Meng Cao (105914)

    منشور في 2025
    "…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
  18. 1578

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

    منشور في 2025
    "…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
  19. 1579

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

    منشور في 2025
    "…<div><p>Background</p><p>The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.</p><p>Objective</p><p>This study aimed to develop a risk prediction model for CI in CKD patients using machine learning algorithms, with the objective of enhancing risk prediction accuracy and facilitating early intervention.…"
  20. 1580

    Supplementary file 1_Study on postoperative survival prediction model for non-small cell lung cancer: application of radiomics technology workflow based on multi-organ imaging feat... حسب Hanlin Wang (240998)

    منشور في 2025
    "…The study extracted radiomic features from the tumor, whole lung, and erector spinae muscles of the patients and applied 11 machine learning algorithms to construct prediction models. Subsequently, the classification performance of all constructed models was compared to select the optimal prediction model.…"