يعرض 121 - 140 نتائج من 156 نتيجة بحث عن '(( primary data processing optimization algorithm ) OR ( binary a guide optimization algorithm ))', وقت الاستعلام: 0.76s تنقيح النتائج
  1. 121

    Supplementary file 1_Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning.docx حسب Lian Li (49049)

    منشور في 2025
    "…Objective<p>This study utilizes real-world data from primary membranous nephropathy (PMN) patients to preliminarily develop a venous thromboembolism (VTE) risk prediction model with machine learning. …"
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  4. 124

    SPAM-XAI confusion matrix. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  5. 125

    Illustration of MLP. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  6. 126

    Dataset detail division. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  7. 127

    Software defects types. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  8. 128

    SMOTE representation. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  9. 129

    Demonstration confusion matrix. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  10. 130

    Analysis PC2 AU-ROC curve. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  11. 131

    PROMISE defects prediction attribute aspects. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  12. 132

    Internal architecture of the SPAM-XAI model. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  13. 133

    SPAM-XAI compared with previous models. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  14. 134

    SPAM-XAI confusion matrix using PC2 dataset. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  15. 135

    Overview of SPAM-XAI model complete architecture. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  16. 136

    SPAM-XAI using the PC1 dataset. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  17. 137

    SPAM-XAI using the CM1 dataset. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  18. 138

    Analysis of CM1 ROC curve. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  19. 139

    SPAM-XAI confusion matrix using PC1 dataset. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  20. 140

    Analysis PC1 AU-ROC curve. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"