يعرض 161 - 180 نتائج من 724 نتيجة بحث عن '(( element study algorithm ) OR ((( element method algorithm ) OR ( level coding algorithm ))))', وقت الاستعلام: 0.30s تنقيح النتائج
  1. 161

    RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices حسب RealBench RealBench (22275393)

    منشور في 2025
    "…<br>│ └── level4/ # Level 4 projects (expert complexity).<br>├── src/ # Main source code for the RealBench framework.…"
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    Various metrics of the training model. حسب Lai Yingdong (22403854)

    منشور في 2025
    "…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…"
  10. 170

    The window installation progress description. حسب Lai Yingdong (22403854)

    منشور في 2025
    "…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…"
  11. 171

    Research Flowchart. حسب Lai Yingdong (22403854)

    منشور في 2025
    "…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…"
  12. 172

    Results.cxv. حسب Lai Yingdong (22403854)

    منشور في 2025
    "…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…"
  13. 173

    Precision Recall data. حسب Lai Yingdong (22403854)

    منشور في 2025
    "…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…"
  14. 174

    The score of precision and recall. حسب Lai Yingdong (22403854)

    منشور في 2025
    "…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…"
  15. 175

    Installation Process of a Window. حسب Lai Yingdong (22403854)

    منشور في 2025
    "…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…"
  16. 176

    Real-time implementation of the proposed model. حسب Lai Yingdong (22403854)

    منشور في 2025
    "…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…"
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