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Showing 61 - 80 results of 722 for search '(((( element controls algorithm ) OR ( element method algorithm ))) OR ( source code algorithm ))', query time: 0.28s Refine Results
  1. 61
    A sample demonstration of DBCAA algorithm for 4 observers.

    A sample demonstration of DBCAA algorithm for 4 observers. by Abdulkerim Capar (20390120)

    Published 2024
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  2. 62
    The source code includes training/validation scripts, pre-trained model weights, configuration files, and data processing tools.

    The source code includes training/validation scripts, pre-trained model weights, configuration files, and data processing tools. by Ju Liang (4277062)

    Published 2025
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  3. 63
    Collaborative Research: Elements: A task-based code for multiphysics problems in astrophysics at exascale

    Collaborative Research: Elements: A task-based code for multiphysics problems in astrophysics at exascale by Nils Deppe (19460062)

    Published 2025
    “…The code uses transformative algorithms to reach exascale. …”
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  4. 64
    Example measurement and analysis units for landscape elements.

    Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

    Published 2025
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  5. 65
    S1 Data - CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8

    S1 Data - CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8 by Qian Shen (89639)

    Published 2025
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  6. 66
    Analysis of elements of emergency resource scheduling model in chemical industry park.

    Analysis of elements of emergency resource scheduling model in chemical industry park. by Yuhang Wang (332111)

    Published 2025
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  7. 67
    Multi-material topology optimization using scaled boundary finite element method

    Multi-material topology optimization using scaled boundary finite element method by Mohammed Saif Zamiruddin Siddiqui (22384884)

    Published 2025
    “…<p>This work introduces the use of Scaled Boundary Finite Element Method (SBFEM) in Multi-Material Topology Optimization (MMTO) problems, which is new in the literature. …”
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  8. 68
    Flowchart of the subspace fitting algorithm for interpolated coprime arrays.

    Flowchart of the subspace fitting algorithm for interpolated coprime arrays. by Chuanxi Xing (20141665)

    Published 2024
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  9. 69
    Algorithm parameter settings employed in the experiments on simulated data.

    Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

    Published 2024
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  10. 70
    Implementation code and computational results. 

    Implementation code and computational results.  by Xunqian Xu (21261899)

    Published 2025
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  11. 71
    Classical Predictive Coding for motion processing.

    Classical Predictive Coding for motion processing. by Elnaz Nemati (21402730)

    Published 2025
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  12. 72
    Results achieved from using baseline and enhanced planning algorithms.

    Results achieved from using baseline and enhanced planning algorithms. by Tianhe Sun (21145341)

    Published 2025
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  13. 73
    Robot polishing experimental platform.

    Robot polishing experimental platform. 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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  14. 74
    Backpropagation neural network structure.

    Backpropagation neural network structure. 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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  15. 75
    Polishing experimental data (<i>μ<i>m</i></i>).

    Polishing experimental data (<i>μ<i>m</i></i>). 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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  16. 76
    Partial polishing of experimental data.

    Partial polishing of experimental data. 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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  17. 77
    Traditional curvature step optimization results.

    Traditional curvature step optimization results. 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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  18. 78
    Four factors and three levels of the experiment.

    Four factors and three levels of the experiment. 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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  19. 79
    Flowchart of curvature adaptive calculation.

    Flowchart of curvature adaptive calculation. 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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  20. 80
    Four factors and three levels of the experiment.

    Four factors and three levels of the experiment. 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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