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  1. 1
    Anomaly detection of the constructed data.

    Anomaly detection of the constructed data. by Md. Fahim Ul Islam (22470251)

    Published 2025
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  2. 2
    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
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  3. 3
    Architecture of proposed system model.

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

    Published 2025
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  4. 4
    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
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  5. 5
    Accuracy analysis of DDcGAN-GSOM with existing techniques.

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

    Published 2025
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  6. 6
    Network simulation of the proposed method.

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

    Published 2025
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  7. 7
    Simulation parameters of SDN network.

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

    Published 2025
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  8. 8
    Generator loss of the proposed method.

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

    Published 2025
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  9. 9
    Simulation parameters of DDcGAN.

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

    Published 2025
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  10. 10
    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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  11. 11
    Performance metrics.

    Performance metrics. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    Precision analysis of DDcGAN-GSOM with current approaches.

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

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  16. 16
    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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  17. 17
    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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  18. 18
    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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  19. 19
    Flow diagram for the proposed methodology.

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

    Published 2025
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  20. 20
    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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