يعرض 1 - 20 نتائج من 811 نتيجة بحث عن '(((( waste modeling algorithm ) OR ( element method algorithm ))) OR ( level coding algorithm ))*', وقت الاستعلام: 0.44s تنقيح النتائج
  1. 1
  2. 2

    Block model and waste dump parameters. حسب Jingsi Lin (22386427)

    منشور في 2025
    الموضوعات:
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

    Main code. حسب Jingguo Bi (21439766)

    منشور في 2025
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13

    ROC curves of four models for wasting. حسب Md. Merajul Islam (12646837)

    منشور في 2024
    "…</p><p>Results</p><p>The XGB-based model outperformed the other models, with the accuracy and AUC respectively 81.73% and 0.802 for stunting, 76.15% and 0.622 for wasting, and 79.13% and 0.712 for underweight. …"
  14. 14
  15. 15

    Convergence curve of the DBO algorithm. حسب Ma Haohao (22177538)

    منشور في 2025
    "…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"
  16. 16
  17. 17

    Element model generation method with geometric distribution errors حسب Yiqi Liu (21357815)

    منشور في 2025
    "…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …"
  18. 18
  19. 19

    Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) حسب bowen pang (21837359)

    منشور في 2025
    "…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …"
  20. 20

    SHAP summary plot of the XGB model for wasting. حسب Md. Merajul Islam (12646837)

    منشور في 2024
    "…</p><p>Results</p><p>The XGB-based model outperformed the other models, with the accuracy and AUC respectively 81.73% and 0.802 for stunting, 76.15% and 0.622 for wasting, and 79.13% and 0.712 for underweight. …"