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Showing 1 - 20 results of 388 for search '(( complement system algorithm ) OR ((( second phase algorithm ) OR ( neural coding algorithm ))))', query time: 0.50s Refine Results
  1. 1
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  2. 2
    Comparative analysis of second-phase objective values under varied and .

    Comparative analysis of second-phase objective values under varied and . by Xuejiao Zhang (3089274)

    Published 2025
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  3. 3
    The flowchart diagram of the CS algorithm technique [30].

    The flowchart diagram of the CS algorithm technique [30]. by Muhammad Hafeez Mohamed Hariri (21578293)

    Published 2025
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  4. 4
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  5. 5
    Algorithm stages for the clustering phase.

    Algorithm stages for the clustering phase. by Julien Roche (611898)

    Published 2024
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  6. 6
    Flowchart of marine predator algorithm.

    Flowchart of marine predator algorithm. by Ahmed A. Zaki Diab (12757190)

    Published 2025
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  7. 7
    Comparison of the EODA algorithm with existing algorithms in terms of recall.

    Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

    Published 2025
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  8. 8
    Comparison of the EODA algorithm with existing algorithms in terms of precision.

    Comparison of the EODA algorithm with existing algorithms in terms of precision. by Sunil Kumar (102321)

    Published 2025
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  9. 9
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  10. 10
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  11. 11
    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score.

    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. by Sunil Kumar (102321)

    Published 2025
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  12. 12
    The operating boundaries and control variables of the suggested algorithms.

    The operating boundaries and control variables of the suggested algorithms. by Ahmed A. Zaki Diab (12757190)

    Published 2025
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  13. 13
    The optimal number of clusters identified using the GMM clustering algorithm.

    The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  14. 14
    Optimal number of clusters identified using the GMM clustering algorithm.

    Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  15. 15
    Impact of multiunit merging on neural information encoding.

    Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

    Published 2025
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  16. 16
    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"

    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

    Published 2024
    “…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”
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  17. 17
    code_4

    code_4 by Olga Ovtsarenko (20432033)

    Published 2024
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  18. 18
    Boxplot comparison of various optimization algorithms for the case of 118 bus system.

    Boxplot comparison of various optimization algorithms for the case of 118 bus system. by Ahmed A. Zaki Diab (12757190)

    Published 2025
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  19. 19
    The proposed algorithm of the outlier detection method.

    The proposed algorithm of the outlier detection method. by Sunil Kumar (102321)

    Published 2025
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  20. 20
    a. How various statistical models account for modulation classification performance across the entire dataset.

    a. How various statistical models account for modulation classification performance across the entire dataset. by Chris Scholes (3309477)

    Published 2025
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