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Showing 81 - 100 results of 430 for search '(( primary data using optimization algorithm ) OR ( binary b model optimization algorithm ))', query time: 1.06s Refine Results
  1. 81
    Generator loss of the proposed method.

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

    Published 2025
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  2. 82
    Simulation parameters of DDcGAN.

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

    Published 2025
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  3. 83
    Throughput analysis of DDcGAN-GSOM with prevailing approaches.

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

    Published 2025
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  4. 84
    Performance metrics.

    Performance metrics. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  5. 85
    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
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  6. 86
    Schematic representation of univariate ensemble-based feature selection.

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

    Published 2025
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  7. 87
    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
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  8. 88
    Precision analysis of DDcGAN-GSOM with current approaches.

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

    Published 2025
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  9. 89
    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
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  10. 90
    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
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  11. 91
    True positive rate (TPR) analysis of DDcGAN-GSOM with existing techniques.

    True positive rate (TPR) analysis of DDcGAN-GSOM with existing techniques. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  12. 92
    Flow diagram for the proposed methodology.

    Flow diagram for the proposed methodology. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  13. 93
    Specificity comparison of DDcGAN-GSOM with prevailing methods.

    Specificity comparison of DDcGAN-GSOM with prevailing methods. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  14. 94
    Discriminator loss of suggested technique.

    Discriminator loss of suggested technique. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  15. 95
    Comprehensive comparison of state-of-the-art approaches.

    Comprehensive comparison of state-of-the-art approaches. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  16. 96
    Energy consumption analysis of DDcGAN-GSOM with existing methods.

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

    Published 2025
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  17. 97
    Analysis of DDcGAN-GSOM delay with existing techniques.

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

    Published 2025
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  18. 98
    Comparative analysis of DDcGAN-GSOM’s Energy Consumption, Throughput, and Dealy.

    Comparative analysis of DDcGAN-GSOM’s Energy Consumption, Throughput, and Dealy. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  19. 99
    System model of the proposed method.

    System model of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  20. 100
    Hierarchical clustering to infer a binary tree with <i>K</i> = 4 sampled populations.

    Hierarchical clustering to infer a binary tree with <i>K</i> = 4 sampled populations. by Tristan Mary-Huard (3864)

    Published 2023
    “…After <i>K</i> − 2 = 2 steps, the resulting tree is binary and the algorithm stops.</p>…”
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