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Showing 1 - 20 results of 575 for search '(((( deep clustering algorithm ) OR ( joint loading algorithm ))) OR ( element method algorithm ))', query time: 0.46s Refine Results
  1. 1
    The method for determining the chemical constituents of unknown materials in the algorithm.

    The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

    Published 2025
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  2. 2
    Hierarchical Deep Spectral Clustering results for AC-20-4.

    Hierarchical Deep Spectral Clustering results for AC-20-4. by Creighton M. Lisowski (22756444)

    Published 2025
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  3. 3
    Top: Hierarchical deep spectral clustering results for AP–20–4.

    Top: Hierarchical deep spectral clustering results for AP–20–4. by Creighton M. Lisowski (22756444)

    Published 2025
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  4. 4
    Top: Hierarchical deep spectral clustering results for AC–20–4.

    Top: Hierarchical deep spectral clustering results for AC–20–4. by Creighton M. Lisowski (22756444)

    Published 2025
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  5. 5
    Calculation algorithm implementing the proposed model.

    Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

    Published 2025
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  6. 6
    Calculation algorithm implementing the proposed model.

    Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

    Published 2025
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  7. 7
    The joint position sequence of robotic arms.

    The joint position sequence of robotic arms. by Yanqin Fan (7515125)

    Published 2025
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  8. 8
    Joint constraints of the 6-DOF robotic arm.

    Joint constraints of the 6-DOF robotic arm. by Yanqin Fan (7515125)

    Published 2025
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  9. 9
    Scatter diagram of different principal elements.

    Scatter diagram of different principal elements. by Jizhong Wang (7441697)

    Published 2025
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  10. 10
    Comparison of clustering algorithms (K-Means, MeanShift, etc.) based on the average Silhouette Score.

    Comparison of clustering algorithms (K-Means, MeanShift, etc.) based on the average Silhouette Score. by Manju M. S. (22793350)

    Published 2025
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  11. 11
    Comparison of the EODA algorithm with existing algorithms in terms of recall.

    Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

    Published 2025
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  12. 12
    Comparison of the EODA algorithm with existing algorithms in terms of precision.

    Comparison of the EODA algorithm with existing algorithms in terms of precision. by Sunil Kumar (102321)

    Published 2025
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  13. 13
    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score.

    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. by Sunil Kumar (102321)

    Published 2025
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  14. 14
    Comparison of time consumed by different clustering algorithms when K value is known and the score.

    Comparison of time consumed by different clustering algorithms when K value is known and the score. by Ge Wang (56838)

    Published 2025
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  15. 15
    Comparison of time consumed by different clustering algorithms when K value is known and the score.

    Comparison of time consumed by different clustering algorithms when K value is known and the score. by Ge Wang (56838)

    Published 2025
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  16. 16
    Benchmarking of ASV clustering tools.

    Benchmarking of ASV clustering tools. by John Sundh (4486429)

    Published 2025
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  17. 17
    Convergence curve of the DBO algorithm.

    Convergence curve of the DBO algorithm. 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. 18
    Example ASV cluster with five ASVs.

    Example ASV cluster with five ASVs. by John Sundh (4486429)

    Published 2025
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  19. 19
    Element model generation method with geometric distribution errors

    Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

    Published 2025
    “…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
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  20. 20
    Framework of the proposed algorithm.

    Framework of the proposed algorithm. by Jia Li (160557)

    Published 2025
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