يعرض 1 - 20 نتائج من 6,479 نتيجة بحث عن '(( element pass algorithm ) OR ((( data processing algorithm ) OR ( samples using algorithm ))))', وقت الاستعلام: 0.53s تنقيح النتائج
  1. 1

    Algorithm process. حسب Wei Cui (92129)

    منشور في 2025
    "…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …"
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

    Data after data processing. حسب Jiaqi Wang (369548)

    منشور في 2025
    الموضوعات:
  7. 7
  8. 8
  9. 9

    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 2025
    "…Finally, we use the Laplace approximation to determine a lower bound for the out-of-sample prediction error and derive a scalable expression for the marginal variance of each prediction. …"
  10. 10
  11. 11

    Genetic algorithm flowchart. حسب Wenguang Li (6528113)

    منشور في 2024
    الموضوعات:
  12. 12

    Flowchart of the proposed algorithm. حسب Huanyu Yang (6683780)

    منشور في 2025
    "…The sub-block selection algorithm sorts and filters sub-blocks based on the average pixel difference, reconstructing the input data to ensure accurate separation of melanin and hemoglobin. …"
  13. 13

    Genetic algorithm iteration data chart. حسب Wenguang Li (6528113)

    منشور في 2024
    الموضوعات:
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20

    Improved random forest algorithm. حسب Zhen Zhao (159931)

    منشور في 2025
    "…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"