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Showing 1 - 20 results of 924 for search '(( tests control algorithm ) OR ((( element mining algorithm ) OR ( neural coding algorithm ))))', query time: 0.58s Refine Results
  1. 1
    Data and code resources.

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

    Published 2025
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  2. 2
    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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  3. 3
    Comparison of test results of different algorithms.

    Comparison of test results of different algorithms. by Jun Fu (163683)

    Published 2025
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  4. 4
    All Code and MoCap data for Cutaneous Rectilinear Algorithm tests

    All Code and MoCap data for Cutaneous Rectilinear Algorithm tests by Henry Astley (22155685)

    Published 2025
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  5. 5
    Control accuracy test results.

    Control accuracy test results. by Dayu Zhang (710629)

    Published 2025
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  6. 6
    Rerandomization Algorithms for Optimal Designs of Network A/B Tests

    Rerandomization Algorithms for Optimal Designs of Network A/B Tests by Qiong Zhang (172309)

    Published 2025
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  7. 7
    GA pseudo-code.

    GA pseudo-code. by Jianpeng Zhang (528185)

    Published 2025
    “…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …”
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  8. 8
    Algorithm performance test results.

    Algorithm performance test results. by Yue Guo (695495)

    Published 2025
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  9. 9
    Pseudo-code for the study design model.

    Pseudo-code for the study design model. by Jianpeng Zhang (528185)

    Published 2025
    “…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …”
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  10. 10
    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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  11. 11
    Obtained controller parameters via different algorithms.

    Obtained controller parameters via different algorithms. by Sarah A. Alzakari (19704611)

    Published 2024
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  12. 12
    Descriptive statistics of algorithms.

    Descriptive statistics of algorithms. by Fizza Shafique (19996292)

    Published 2024
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  13. 13
    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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  14. 14
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  15. 15
    Flow chart of implementation of metaheuristic algorithm-PI control BLDC motor.

    Flow chart of implementation of metaheuristic algorithm-PI control BLDC motor. by Fizza Shafique (19996292)

    Published 2024
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  16. 16
    Transient response of different algorithms-based 2-DOF PIDA controllers.

    Transient response of different algorithms-based 2-DOF PIDA controllers. by Erdal Eker (19251018)

    Published 2025
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  17. 17
    Graph showing the tracking errors of the three control algorithms under noise.

    Graph showing the tracking errors of the three control algorithms under noise. by Xiaosong Liu (66661)

    Published 2025
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  18. 18
    Pseudo code.

    Pseudo code. by Xuwei Liu (6034592)

    Published 2025
    “…Overall, the designed model can optimize the accuracy of engineering budgeting and the ability to control costs.</p></div>…”
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  19. 19
    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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  20. 20
    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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