يعرض 1,421 - 1,440 نتائج من 2,947 نتيجة بحث عن '(( significant decrease decrease ) OR ( significant ((time decrease) OR (time increased)) ))~', وقت الاستعلام: 0.52s تنقيح النتائج
  1. 1421

    Flow chart of the sample preparation process. حسب Fang Zheng (54278)

    منشور في 2025
    "…At the end of the freeze-thaw cycle (FTC), the deformation of the saline soil increased with the decrease of the cold end temperature, and the alternating time between heat and cold did not produce significant changes in the deformation of the saline soil. …"
  2. 1422

    Particle size curve. حسب Fang Zheng (54278)

    منشور في 2025
    "…At the end of the freeze-thaw cycle (FTC), the deformation of the saline soil increased with the decrease of the cold end temperature, and the alternating time between heat and cold did not produce significant changes in the deformation of the saline soil. …"
  3. 1423

    Compaction curve. حسب Fang Zheng (54278)

    منشور في 2025
    "…At the end of the freeze-thaw cycle (FTC), the deformation of the saline soil increased with the decrease of the cold end temperature, and the alternating time between heat and cold did not produce significant changes in the deformation of the saline soil. …"
  4. 1424

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  5. 1425

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  6. 1426

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  7. 1427

    Main module structure. حسب Dunlu Lu (19964225)

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  8. 1428

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  9. 1429

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  10. 1430

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  11. 1431

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  12. 1432

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  13. 1433

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  14. 1434

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  15. 1435

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

    منشور في 2024
    "…This solves the issues of increased training time and redundant weights caused by the detection neck and auxiliary branch structures in traditional YOLOv9, enabling MAR-YOLOv9 to maintain high performance while reducing the model’s computational complexity and improving detection speed, making it more suitable for real-time detection tasks. …"
  16. 1436

    Mean parameter values for the selected crops. حسب Gourab Saha (8987405)

    منشور في 2025
    "…<div><p>As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. …"
  17. 1437

    Performance comparison of ML models. حسب Gourab Saha (8987405)

    منشور في 2025
    "…<div><p>As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. …"
  18. 1438

    Comparative data of different soil samples. حسب Gourab Saha (8987405)

    منشور في 2025
    "…<div><p>As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. …"
  19. 1439

    Confusion matrix of random forest model. حسب Gourab Saha (8987405)

    منشور في 2025
    "…<div><p>As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. …"
  20. 1440

    Sensor value scenario for fuzzy logic algorithm. حسب Gourab Saha (8987405)

    منشور في 2025
    "…<div><p>As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. …"