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Showing 81 - 100 results of 722 for search '(((( element controls algorithm ) OR ( element method algorithm ))) OR ( source code algorithm ))', query time: 0.30s Refine Results
  1. 81
    Comparison of surface profiles.

    Comparison of surface profiles. by Ma Haohao (22177538)

    Published 2025
    “…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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  2. 82
    Overall workflow of this study.

    Overall workflow of this study. by Ma Haohao (22177538)

    Published 2025
    “…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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  3. 83
    Robotic polishing system improves DH parameters.

    Robotic polishing system improves DH parameters. by Ma Haohao (22177538)

    Published 2025
    “…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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  4. 84
    Flowchart of DBO-BPNN prediction.

    Flowchart of DBO-BPNN prediction. by Ma Haohao (22177538)

    Published 2025
    “…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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  5. 85
    Comparison of results based on CycleGAN method.

    Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

    Published 2025
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  6. 86
    Python code for estimating parameters of an ALAAM model.

    Python code for estimating parameters of an ALAAM model. by Alex Stivala (8356257)

    Published 2024
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  7. 87
    Dispersion signal in principal and residual space in PCA and KPCA algorithm.

    Dispersion signal in principal and residual space in PCA and KPCA algorithm. by Emmanuel Ndongue Esseme (22615091)

    Published 2025
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  8. 88
    Replication package for Exploring the relation between source code commit information and SonarQube issues

    Replication package for Exploring the relation between source code commit information and SonarQube issues by Liviu Marian Berciu (17797934)

    Published 2025
    “…<p dir="ltr">This item represents a replication package/dataset for the article `Exploring the relation between source code commit information and SonarQube issues`. …”
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  9. 89
    The actual training effect of four algorithms on original photo data (All images are original images taken by the author).

    The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

    Published 2025
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  10. 90
    Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python)

    Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) by Robert Zomer (12796235)

    Published 2025
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  11. 91
    Average classification accuracies of PCA with different numbers of projection vectors.

    Average classification accuracies of PCA with different numbers of projection vectors. by Jing Wang (6206297)

    Published 2025
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  12. 92
    Reconstruction errors of RSPCA with different values.

    Reconstruction errors of RSPCA with different values. by Jing Wang (6206297)

    Published 2025
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  13. 93
    An illustration of the coordinates of two pixels in an image.

    An illustration of the coordinates of two pixels in an image. by Jing Wang (6206297)

    Published 2025
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  14. 94
    Reconstruction errors of PCA and PCA-L1 with different numbers of projection vectors.

    Reconstruction errors of PCA and PCA-L1 with different numbers of projection vectors. by Jing Wang (6206297)

    Published 2025
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  15. 95
    Average classification accuracies of RSPCA with different values.

    Average classification accuracies of RSPCA with different values. by Jing Wang (6206297)

    Published 2025
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  16. 96
    Reconstruction errors of RSMPCA with different values.

    Reconstruction errors of RSMPCA with different values. by Jing Wang (6206297)

    Published 2025
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  17. 97
    Reconstruction errors of RSSPCA with different and values.

    Reconstruction errors of RSSPCA with different and values. by Jing Wang (6206297)

    Published 2025
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  18. 98
    Average classification accuracies of RSSPCA with different and values.

    Average classification accuracies of RSSPCA with different and values. by Jing Wang (6206297)

    Published 2025
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  19. 99
    An illustration of the adjacency matrix, degree matrix, and Laplacian matrix.

    An illustration of the adjacency matrix, degree matrix, and Laplacian matrix. by Jing Wang (6206297)

    Published 2025
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  20. 100
    The impact of the three factors on reconstruction and classification performance.

    The impact of the three factors on reconstruction and classification performance. by Jing Wang (6206297)

    Published 2025
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