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Showing 221 - 240 results of 636 for search '(((( implement ipca algorithm ) OR ( element method algorithm ))) OR ( level coding algorithm ))', query time: 0.40s Refine Results
  1. 221
    Table 1_In Vitro biomechanical study of meniscal properties in patients with severe knee osteoarthritis.xlsx

    Table 1_In Vitro biomechanical study of meniscal properties in patients with severe knee osteoarthritis.xlsx by Yuqi Liu (501183)

    Published 2025
    “…Quantifying the biomechanical properties of the meniscus is essential for understanding its role in knee joint function and pathology.</p>Methods<p>This study aimed to determine the biomechanical properties of the meniscus in patients with severe KOA using experimental mechanical testing and an inverse finite element analysis (iFEA) model. …”
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  2. 222
    Table 2_In Vitro biomechanical study of meniscal properties in patients with severe knee osteoarthritis.xlsx

    Table 2_In Vitro biomechanical study of meniscal properties in patients with severe knee osteoarthritis.xlsx by Yuqi Liu (501183)

    Published 2025
    “…Quantifying the biomechanical properties of the meniscus is essential for understanding its role in knee joint function and pathology.</p>Methods<p>This study aimed to determine the biomechanical properties of the meniscus in patients with severe KOA using experimental mechanical testing and an inverse finite element analysis (iFEA) model. …”
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  3. 223
    TreeMap 2016 Stand Size Code Field (Image Service)

    TreeMap 2016 Stand Size Code Field (Image Service) by U.S. Forest Service (17476914)

    Published 2024
    “…<div>TreeMap 2016 provides a tree-level model of the forests of the conterminous United States.…”
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  4. 224
    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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  5. 225
    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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  6. 226
    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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  7. 227
    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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  8. 228
    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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  9. 229
    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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  10. 230
    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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  11. 231
    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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  12. 232
    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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  13. 233
    Flowchart of adaptive variable impedance control.

    Flowchart of adaptive variable impedance control. 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. 234
    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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  15. 235
    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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  16. 236
    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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  17. 237
    Ricker seismic profile.

    Ricker seismic profile. by Zhenjing Yao (22189970)

    Published 2025
    “…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”
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  18. 238
    Noise reduction on testing sets from STEAD.

    Noise reduction on testing sets from STEAD. by Zhenjing Yao (22189970)

    Published 2025
    “…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”
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  19. 239
    SNR comparison of real-field seismic profile.

    SNR comparison of real-field seismic profile. by Zhenjing Yao (22189970)

    Published 2025
    “…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”
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  20. 240
    The 147th single trace.

    The 147th single trace. by Zhenjing Yao (22189970)

    Published 2025
    “…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”
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