Search alternatives:
process optimization » robust optimization (Expand Search), model optimization (Expand Search), policy optimization (Expand Search)
driven optimization » design optimization (Expand Search)
binary hastv » binary health (Expand Search), binary data (Expand Search), binary mask (Expand Search)
hastv driven » hastv1 driven (Expand Search), data driven (Expand Search), atp driven (Expand Search)
primary data » primary care (Expand Search)
data process » data processing (Expand Search), damage process (Expand Search), data access (Expand Search)
Showing 1 - 20 results of 58 for search '(( binary hastv driven optimization algorithm ) OR ( primary data process optimization algorithm ))', query time: 0.57s Refine Results
  1. 1
    The parameter settings of the RF algorithm after parameter optimization.

    The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

    Published 2025
    Save to List
    Saved in:
  2. 2
    Iteration curve of the optimization process.

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

    Published 2025
    Save to List
    Saved in:
  3. 3
    Parameter optimization results of the RF model improved by FCM clustering.

    Parameter optimization results of the RF model improved by FCM clustering. by Xini Fang (20861990)

    Published 2025
    Save to List
    Saved in:
  4. 4
    Construction process of RF.

    Construction process of RF. by Xini Fang (20861990)

    Published 2025
    “…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”
    Save to List
    Saved in:
  5. 5
    Comparative analysis of DDcGAN-GSOM’s True Positive Rate, False Alarm Rate, and Specificity.

    Comparative analysis of DDcGAN-GSOM’s True Positive Rate, False Alarm Rate, and Specificity. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 6
    Architecture of proposed system model.

    Architecture of proposed system model. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 7
    F1-score analysis of DDcGAN-GSOM with existing methods.

    F1-score analysis of DDcGAN-GSOM with existing methods. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 8
    Accuracy analysis of DDcGAN-GSOM with existing techniques.

    Accuracy analysis of DDcGAN-GSOM with existing techniques. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 9
    Network simulation of the proposed method.

    Network simulation of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    Simulation parameters of SDN network.

    Simulation parameters of SDN network. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 11
    Generator loss of the proposed method.

    Generator loss of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 12
    Simulation parameters of DDcGAN.

    Simulation parameters of DDcGAN. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 13
    Throughput analysis of DDcGAN-GSOM with prevailing approaches.

    Throughput analysis of DDcGAN-GSOM with prevailing approaches. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    Performance metrics.

    Performance metrics. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 15
    Performance comparison of proposed system with state-of-the-art approaches.

    Performance comparison of proposed system with state-of-the-art approaches. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 16
    Schematic representation of univariate ensemble-based feature selection.

    Schematic representation of univariate ensemble-based feature selection. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 17
    Energy consumption analysis of DDcGAN-GSOM with existing approaches.

    Energy consumption analysis of DDcGAN-GSOM with existing approaches. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 18
    Precision analysis of DDcGAN-GSOM with current approaches.

    Precision analysis of DDcGAN-GSOM with current approaches. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 19
    Comparative analysis of DDcGAN-GSOM’s Accuracy, Precision, and F1-score.

    Comparative analysis of DDcGAN-GSOM’s Accuracy, Precision, and F1-score. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  20. 20
    False alarm rate analysis of DDcGAN-GSOM with existing approaches.

    False alarm rate analysis of DDcGAN-GSOM with existing approaches. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: