يعرض 181 - 200 نتائج من 722 نتيجة بحث عن '(((( element control algorithm ) OR ( element method algorithm ))) OR ( source coding algorithm ))', وقت الاستعلام: 0.58s تنقيح النتائج
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    Ablation study visualization results. حسب Xiaozhou Feng (2918222)

    منشور في 2025
    "…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
    "…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
    "…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
    "…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
    "…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
    "…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
    "…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
    "…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
    "…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
    "…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
    "…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
    "…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
    "…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

    Model’s measure methods. حسب Songsong Wang (8088293)

    منشور في 2025
    "…The findings indicate that the LSTM model, when integrated with the watershed-internal KG and LLM, can effectively incorporate critical elements influencing water level changes, the accuracy of the LLM-KG-LSTM model is enhanced by 3% compared to the standard LSTM model, and the LSTM series outperforms both RNN and GRU models, Our method will guide future research from the perspective of focusing on forecasting algorithms to the perspective of focusing on the relationship between multi-dimensional disaster data and algorithm parallelism.…"
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    Elements: Multiparticle collision dynamics simulations of mesoscale hydrodynamic interactions in complex soft materials and environments حسب Michael Howard (19421473)

    منشور في 2025
    "…The primary outcome is open-source software that will supplant private, in-house codes currently used by different researchers, thereby enhancing the transparency and reproducibility of MPCD simulations.…"