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Showing 81 - 100 results of 4,642 for search '(( element method algorithm ) OR ((( data fitting algorithm ) OR ( data processing algorithm ))))', query time: 0.45s Refine Results
  1. 81
    Calculation algorithm implementing the proposed model.

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

    Published 2025
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  2. 82
    Calculation algorithm implementing the proposed model.

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

    Published 2025
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  3. 83
    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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  4. 84
    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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  5. 85
    Multi-sensor fusion process and algorithm workflow.

    Multi-sensor fusion process and algorithm workflow. by Hongliang Zou (20707270)

    Published 2025
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  6. 86
    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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  7. 87
    The membrane metamaterial structure.

    The membrane metamaterial structure. by Shangyang Jin (21772466)

    Published 2025
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  8. 88
    The material characteristics of the mass block.

    The material characteristics of the mass block. by Shangyang Jin (21772466)

    Published 2025
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  9. 89
    The TL of the metamaterial.

    The TL of the metamaterial. by Shangyang Jin (21772466)

    Published 2025
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  10. 90
    The nine structural parameters as design factors.

    The nine structural parameters as design factors. by Shangyang Jin (21772466)

    Published 2025
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  11. 91
    The material characteristics of the components.

    The material characteristics of the components. by Shangyang Jin (21772466)

    Published 2025
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  12. 92
    Optimization flow of the co-simulation method.

    Optimization flow of the co-simulation method. by Shangyang Jin (21772466)

    Published 2025
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  13. 93
    The TL of the perforated membrane metamaterial.

    The TL of the perforated membrane metamaterial. by Shangyang Jin (21772466)

    Published 2025
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  14. 94
    The effect of each parameter on the peak value.

    The effect of each parameter on the peak value. by Shangyang Jin (21772466)

    Published 2025
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  15. 95
    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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  16. 96
    Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms.

    Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

    Published 2025
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  17. 97
    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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  18. 98
    Scatter diagram of different principal elements.

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

    Published 2025
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  19. 99
    Flow diagram of FPA-WPA algorithm.

    Flow diagram of FPA-WPA algorithm. by Jiayuan Wang (3765376)

    Published 2025
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  20. 100
    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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