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fitting algorithm » finding algorithm (Expand Search), filtering algorithm (Expand Search), twisting algorithm (Expand Search)
backing algorithm » tracking algorithm (Expand Search), making algorithm (Expand Search), tracking algorithms (Expand Search)
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elements method » element method (Expand Search)
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Showing 1 - 20 results of 1,275 for search '(( elements method algorithm ) OR ((( data fitting algorithm ) OR ( data backing algorithm ))))', query time: 0.56s Refine Results
  1. 1
    Algorithmic experimental parameter design.

    Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

    Published 2024
    “…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …”
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  2. 2
    Spatial spectrum estimation for three algorithms.

    Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

    Published 2024
    “…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …”
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  3. 3
    Fitting flow of DAKM algorithm.

    Fitting flow of DAKM algorithm. by Xiaobing Chen (572034)

    Published 2025
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  4. 4
    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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  5. 5
    Comparison of average fitting errors for the three algorithms.

    Comparison of average fitting errors for the three algorithms. by Xiaobing Chen (572034)

    Published 2025
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  6. 6
    Coprime array with interpolated array elements.

    Coprime array with interpolated array elements. by Chuanxi Xing (20141665)

    Published 2024
    “…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …”
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  7. 7
    Comparison results of prediction model with single algorithm and combination algorithm.

    Comparison results of prediction model with single algorithm and combination algorithm. by Jiayuan Wang (3765376)

    Published 2025
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  8. 8
    Comparison of experimental data from three different algorithms.

    Comparison of experimental data from three different algorithms. by Xiaobing Chen (572034)

    Published 2025
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  9. 9
    Fitness values of IRBMO vs. other binary algorithms.

    Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
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  10. 10
    <b>Algorithmic Fitness: Fitness Influencers and Identity Construction on Tiktok</b><b> Data collection </b>

    <b>Algorithmic Fitness: Fitness Influencers and Identity Construction on Tiktok</b><b> Data collection </b> by Taylor Caruso (22272823)

    Published 2025
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  11. 11
    Comparison of execution time for the three algorithms.

    Comparison of execution time for the three algorithms. by Xiaobing Chen (572034)

    Published 2025
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  12. 12
    Task paradigm and classification algorithm.

    Task paradigm and classification algorithm. by Alexander P. Rockhill (6053618)

    Published 2024
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  13. 13
    News classification data fitted with Naive Bayes and TF-IDF algorithm.

    News classification data fitted with Naive Bayes and TF-IDF algorithm. by Li Zhang (8200)

    Published 2025
    “…<p>News classification data fitted with Naive Bayes and TF-IDF algorithm.…”
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  14. 14
    Fitness values of IRBMO vs. other feature selection algorithm.

    Fitness values of IRBMO vs. other feature selection algorithm. by Chenyi Zhu (9383370)

    Published 2025
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  15. 15
    Comparison of knot value distributions for three algorithms.

    Comparison of knot value distributions for three algorithms. by Xiaobing Chen (572034)

    Published 2025
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  16. 16
    Comparison of the number of control points for the three algorithms.

    Comparison of the number of control points for the three algorithms. by Xiaobing Chen (572034)

    Published 2025
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  17. 17
    Fitness versus iterations based on different clustering algorithms.

    Fitness versus iterations based on different clustering algorithms. by Yiwei Zhao (2729758)

    Published 2025
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  18. 18
    Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification.

    Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

    Published 2025
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  19. 19
    Model Fits for Algorithms with 10-fold cross-validation.

    Model Fits for Algorithms with 10-fold cross-validation. by Emir Veledar (3385862)

    Published 2025
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  20. 20
    Scatter diagram of different principal elements.

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

    Published 2025
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