يعرض 481 - 500 نتائج من 636 نتيجة بحث عن '(((( elements method algorithm ) OR ( complement ipca algorithm ))) OR ( level coding algorithm ))', وقت الاستعلام: 0.56s تنقيح النتائج
  1. 481
  2. 482

    Quantitative results on WEDU dataset. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  3. 483

    Counting results on DRPD dataset. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  4. 484

    Quantitative results on RFRB dataset. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  5. 485

    Main module structure. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  6. 486

    Counting results on MTDC-UAV dataset. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  7. 487

    Quantitative results on DRPD dataset. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  8. 488

    Architecture of MAR-YOLOv9. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  9. 489

    Quantitative results on MTDC-UAV dataset. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  10. 490

    Counting results on WEDU dataset. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  11. 491

    Example images from four plant datasets. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  12. 492

    Counting results on RFRB dataset. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  13. 493

    Detection visualization results on WEDU dataset. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …"
  14. 494
  15. 495

    Structure of optimized model parameters in the high-dimensional cases. حسب Kevin J. Wischnewski (21354521)

    منشور في 2025
    "…The number and size of the clusters were determined with help of the -means clustering method. Both were set to zero if the absolute mean value of the off-diagonal elements in the correlation matrix (cf. …"
  16. 496

    Design of stiffened panels for stress and buckling via topology optimization: data حسب Sheng Chu (19655605)

    منشور في 2024
    "…To solve the optimization problem, a semi-analytical sensitivity analysis is performed, and the optimization algorithm is outlined. Numerical investigations demonstrate and validate the proposed method.…"
  17. 497

    Data Sheet 1_Integrated diagnostics and time series sensitivity assessment for growth monitoring of a medicinal plant (Glycyrrhiza uralensis Fisch.) based on unmanned aerial vehicl... حسب Ao Zhang (372387)

    منشور في 2025
    "…PIs collectively achieved high-precision predictions (mean 0.42 ≤ R<sup>2</sup> ≤ 0.94), with the prediction of PH using green leaf index (GLI) in BP algorithm attaining peak accuracy (R² = 0.94). VIs and PIs exhibited comparable predictive capacity for yield, with multi-indicators integrated modeling significantly enhancing performance: VIs achieved R² = 0.87 under RF algorithms, whereas PIs reached R² = 0.81 using BP algorithms. …"
  18. 498

    Data Sheet 2_Integrated diagnostics and time series sensitivity assessment for growth monitoring of a medicinal plant (Glycyrrhiza uralensis Fisch.) based on unmanned aerial vehicl... حسب Ao Zhang (372387)

    منشور في 2025
    "…PIs collectively achieved high-precision predictions (mean 0.42 ≤ R<sup>2</sup> ≤ 0.94), with the prediction of PH using green leaf index (GLI) in BP algorithm attaining peak accuracy (R² = 0.94). VIs and PIs exhibited comparable predictive capacity for yield, with multi-indicators integrated modeling significantly enhancing performance: VIs achieved R² = 0.87 under RF algorithms, whereas PIs reached R² = 0.81 using BP algorithms. …"
  19. 499

    Methodological overview. حسب Jinming Xiao (12517096)

    منشور في 2025
    "…<p>(A) The source reconstruction of TMS-evoked potential of each subject was performed using dSPM method based on MNE software library. The time series of cortical activity were extracted through Schaefer 200 parcellation atlas. …"
  20. 500

    Mean squared Error on all unseen data. حسب Edward Antonian (21453161)

    منشور في 2025
    "…The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …"