يعرض 181 - 200 نتائج من 312 نتيجة بحث عن '(( element data algorithm ) OR ((( query processing algorithm ) OR ( query learning algorithm ))))', وقت الاستعلام: 0.49s تنقيح النتائج
  1. 181

    Traditional scaffolding reinforcement system. حسب Meijun Shang (22806461)

    منشور في 2025
    "…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. …"
  2. 182

    Iteration curve of the optimization process. حسب Meijun Shang (22806461)

    منشور في 2025
    "…The load-bearing mechanism of the proposed steel platform was analyzed theoretically, and finite element analysis (FEA) was employed to evaluate the stresses and deflections of key members. …"
  3. 183

    Ablation study visualization results. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  4. 184

    Experimental parameter configuration. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  5. 185

    FLMP-YOLOv8 identification results. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  6. 186

    C2f structure. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  7. 187

    Experimental environment configuration. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  8. 188

    Ablation experiment results table. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  9. 189

    YOLOv8 identification results. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  10. 190

    LSKA module structure diagram. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  11. 191

    Comparison of mAP curves in ablation experiments. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  12. 192

    FarsterBlock structure. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  13. 193

    Sample augmentation and annotation illustration. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  14. 194

    YOLOv8 model architecture diagram. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  15. 195

    FLMP-YOLOv8 architecture diagram. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …"
  16. 196

    High-entropy sulfide data for clustering comparison حسب Alexander Eggeman (11230284)

    منشور في 2025
    "…<p dir="ltr">Unsupervised machine learning algorithms are applied to two different sets of scanning transmission electron microscope data. …"
  17. 197
  18. 198

    Data Sheet 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.docx حسب Hope A. Townsend (12283067)

    منشور في 2024
    "…First, we applied and compared the results of three recent algorithms, based on pathways (scGWAS), single-cell disease scores (scDRS), or both (scPagwas), according to accuracy/sensitivity and interpretability. …"
  19. 199

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

    منشور في 2025
    "…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. 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. …"
  20. 200

    Data Sheet 1_Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data.csv حسب Bo Lu (241075)

    منشور في 2025
    "…</p>Methods<p>This study utilized crowdsourced exercise walking data and incorporated diverse campus characteristics to construct a multidimensional variable system. …"