Search alternatives:
feature optimization » resource optimization (Expand Search), feature elimination (Expand Search), structure optimization (Expand Search)
based optimization » whale optimization (Expand Search)
input feature » input features (Expand Search)
binary input » binary depot (Expand Search)
primary data » primary care (Expand Search)
data based » data used (Expand Search)
Showing 61 - 80 results of 309 for search '(( binary input feature optimization algorithm ) OR ( primary data based optimization algorithm ))', query time: 1.02s Refine Results
  1. 61
    Table_1_Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique.DOCX

    Table_1_Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique.DOCX by Hasan Zulfiqar (12117255)

    Published 2023
    “…The obtained features were optimized by using correlation and the mRMR-based algorithm. …”
    Save to List
    Saved in:
  2. 62
    Business priorities.

    Business priorities. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
    Save to List
    Saved in:
  3. 63
    Topology of 14-node communication network.

    Topology of 14-node communication network. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
    Save to List
    Saved in:
  4. 64
    Changes of risk value under different parameters.

    Changes of risk value under different parameters. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
    Save to List
    Saved in:
  5. 65
    Performance of active and standby paths.

    Performance of active and standby paths. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
    Save to List
    Saved in:
  6. 66
    Data_Sheet_1_Optimizing Spatio-Temporal Allocation of the COVID-19 Vaccine Under Different Epidemiological Landscapes.pdf

    Data_Sheet_1_Optimizing Spatio-Temporal Allocation of the COVID-19 Vaccine Under Different Epidemiological Landscapes.pdf by Wen Cao (696121)

    Published 2022
    Save to List
    Saved in:
  7. 67
    Data_Sheet_1_Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma.PDF

    Data_Sheet_1_Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma.PDF by Chaoyue Chen (7298480)

    Published 2020
    Save to List
    Saved in:
  8. 68
    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:
  9. 69
    Architecture of proposed system model.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 70
    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:
  11. 71
    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:
  12. 72
    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:
  13. 73
    Simulation parameters of SDN network.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 74
    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:
  15. 75
    Simulation parameters of DDcGAN.

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

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 76
    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:
  17. 77
    Performance metrics.

    Performance metrics. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 78
    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:
  19. 79
    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:
  20. 80
    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:

Search Tools: