يعرض 161 - 180 نتائج من 15,851 نتيجة بحث عن '(((( algorithms risk function ) OR ( algorithm a function ))) OR ( algorithm python function ))', وقت الاستعلام: 0.81s تنقيح النتائج
  1. 161

    Table1_v1_Optimum Design of High-Strength Concrete Mix Proportion for Crack Resistance Using Artificial Neural Networks and Genetic Algorithm.DOCX حسب Li Yue (1497976)

    منشور في 2020
    "…On this basis, using the widely used shrinkage and creep models, the functional relationship between the concrete cracking risk coefficient and the mix proportion is derived, and finally genetic algorithm is used to optimize the concrete mix proportion to improve its crack resistance. …"
  2. 162

    Main parameters of braking system. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  3. 163

    EMB and SBW system structure. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  4. 164

    Raw data. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  5. 165

    Code program. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  6. 166

    The HIL simulation data flowchart. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  7. 167

    Steering system model. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  8. 168
  9. 169

    Main parameters of steering system. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  10. 170

    Co-simulation architecture. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  11. 171

    Overall framework diagram of the study. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  12. 172

    Braking system model. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  13. 173

    Vehicle parameters. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  14. 174

    Image_1_Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.TIFF حسب Hao Chen (5190)

    منشور في 2022
    "…Random-forest and support vector machine algorithm eventually identified ten diagnostic markers (MEF2D, RXRA, PPARA, FOXO1, PPARD, PPP3CB, MAPK14, CREB1, MEF2A, PRMT1) for risk prediction of HF patients, and the proposed nomogram resulted in good predictive performance (GSE66360, AUC = 0.91; GSE59867, AUC = 0.84) and the clinical usefulness in HF patients. …"
  15. 175

    Table_1_Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.XLSX حسب Hao Chen (5190)

    منشور في 2022
    "…Random-forest and support vector machine algorithm eventually identified ten diagnostic markers (MEF2D, RXRA, PPARA, FOXO1, PPARD, PPP3CB, MAPK14, CREB1, MEF2A, PRMT1) for risk prediction of HF patients, and the proposed nomogram resulted in good predictive performance (GSE66360, AUC = 0.91; GSE59867, AUC = 0.84) and the clinical usefulness in HF patients. …"
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