يعرض 4,721 - 4,740 نتائج من 5,103 نتيجة بحث عن 'based optimization algorithm', وقت الاستعلام: 0.17s تنقيح النتائج
  1. 4721

    Four factors and three levels of the experiment. حسب Ma Haohao (22177538)

    منشور في 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. …"
  2. 4722

    Flowchart of curvature adaptive calculation. حسب Ma Haohao (22177538)

    منشور في 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. …"
  3. 4723

    Four factors and three levels of the experiment. حسب Ma Haohao (22177538)

    منشور في 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. …"
  4. 4724

    Comparison of surface profiles. حسب Ma Haohao (22177538)

    منشور في 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. …"
  5. 4725

    Flowchart of adaptive variable impedance control. حسب Ma Haohao (22177538)

    منشور في 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. …"
  6. 4726

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

    منشور في 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. …"
  7. 4727

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

    منشور في 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. …"
  8. 4728

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

    منشور في 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. …"
  9. 4729

    Supplementary Material 8 حسب Nishitha R Kumar (19750617)

    منشور في 2025
    "…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…"
  10. 4730

    Structure of building energy storage system. حسب Wenjie Wang (413433)

    منشور في 2025
    "…This paper proposes a Multi - load Balancing Control Strategy (MLBS) based on the Improved Tuna Swarm Optimization (ITSO) algorithm. …"
  11. 4731

    Low carbon planning case study. حسب Wenjie Wang (413433)

    منشور في 2025
    "…This paper proposes a Multi - load Balancing Control Strategy (MLBS) based on the Improved Tuna Swarm Optimization (ITSO) algorithm. …"
  12. 4732

    Analysis of results of carbon trading mechanisms. حسب Wenjie Wang (413433)

    منشور في 2025
    "…This paper proposes a Multi - load Balancing Control Strategy (MLBS) based on the Improved Tuna Swarm Optimization (ITSO) algorithm. …"
  13. 4733

    Comprehensive building energy system structure. حسب Wenjie Wang (413433)

    منشور في 2025
    "…This paper proposes a Multi - load Balancing Control Strategy (MLBS) based on the Improved Tuna Swarm Optimization (ITSO) algorithm. …"
  14. 4734

    Gated Feedforward Network (GDFN) Structure. حسب Xuanming Wang (22184274)

    منشور في 2025
    "…For this reason, an infrared night vision image enhancement algorithm based on cross-level feature fusion is proposed. …"
  15. 4735

    Pixel perception module structure. حسب Xuanming Wang (22184274)

    منشور في 2025
    "…For this reason, an infrared night vision image enhancement algorithm based on cross-level feature fusion is proposed. …"
  16. 4736

    Infrared night vision image test sample. حسب Xuanming Wang (22184274)

    منشور في 2025
    "…For this reason, an infrared night vision image enhancement algorithm based on cross-level feature fusion is proposed. …"
  17. 4737

    Data Sheet 1_Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay.docx حسب Anusha Klett (20748443)

    منشور في 2025
    "…</p>Discussion<p>Future integration with a perfusion-based drug screening system promises to enhance personalized cancer therapy by optimizing broad drug screening approaches and enabling real-time evaluation of therapeutic efficacy.…"
  18. 4738

    Additional file 7 of Global biogeography and projection of antimicrobial toxin genes حسب Ya Liu (205636)

    منشور في 2025
    "…Feature selection and hyperparameter tuning for the random forest algorithm. ATG abundance and diversity were predicted based on tenfold cross-validation. …"
  19. 4739

    Frequency analysis of ablation experiments. حسب Zhengyuan Zhang (491725)

    منشور في 2025
    "…A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability faced by traditional algorithms. …"
  20. 4740

    Detailed information of each dataset. حسب Zhengyuan Zhang (491725)

    منشور في 2025
    "…A multi visual pattern mining algorithm based on variational inference Gaussian mixture model and pattern activation response graph is introduced to address the issues of insufficient frequency and discriminability faced by traditional algorithms. …"