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Showing 21 - 40 results of 135 for search '(( binary hastv codon optimization algorithm ) OR ( primary data process optimization algorithm ))', query time: 0.56s Refine Results
  1. 21
    Weights of sample data.

    Weights of sample data. by Yixuan Lu (9987980)

    Published 2023
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  2. 22
    Sample data of K-means clustering.

    Sample data of K-means clustering. by Yixuan Lu (9987980)

    Published 2023
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  3. 23
    Algorithms and evaluation metrics integrated in the COPS framework.

    Algorithms and evaluation metrics integrated in the COPS framework. by Teemu J. Rintala (19333003)

    Published 2024
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  4. 24
    Data_Sheet_1_Adaptive restraint design for a diverse population through machine learning.pdf

    Data_Sheet_1_Adaptive restraint design for a diverse population through machine learning.pdf by Wenbo Sun (531308)

    Published 2023
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  5. 25
    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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  6. 26
    Architecture of proposed system model.

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

    Published 2025
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  7. 27
    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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  8. 28
    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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  9. 29
    Network simulation of the proposed method.

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

    Published 2025
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  10. 30
    Simulation parameters of SDN network.

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

    Published 2025
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  11. 31
    Generator loss of the proposed method.

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

    Published 2025
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  12. 32
    Simulation parameters of DDcGAN.

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

    Published 2025
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  13. 33
    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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  14. 34
    Performance metrics.

    Performance metrics. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  15. 35
    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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  16. 36
    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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  17. 37
    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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  18. 38
    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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  19. 39
    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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  20. 40
    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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