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Showing 121 - 140 results of 10,176 for search '(( element method algorithm ) OR ((( data codes algorithm ) OR ( data using algorithm ))))', query time: 0.33s Refine Results
  1. 121
    A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Proportional, <i>P</i>), or unconstrained (Equiprobable, <i>E</i>).

    A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

    Published 2024
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  2. 122
    Mixed Quantum/Classical Theory Approach to Rotationally Inelastic Molecular Collisions Implemented on a Quantum Computer

    Mixed Quantum/Classical Theory Approach to Rotationally Inelastic Molecular Collisions Implemented on a Quantum Computer by Jonathan Andrade-Plascencia (21546959)

    Published 2025
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  3. 123
    MD5 signatures from combined file regions

    MD5 signatures from combined file regions by Paul A. Gagniuc (1818325)

    Published 2025
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  4. 124
    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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  5. 125
    Code for Most Likely Paths Calculation_ERP

    Code for Most Likely Paths Calculation_ERP by Mengqi Yang (21263402)

    Published 2025
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  6. 126
    The structure of the NANEAT model corresponds to the optimal species genome.

    The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

    Published 2025
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  7. 127
    The structural mutation of neuroevolution.

    The structural mutation of neuroevolution. by Wenbing Shi (5806160)

    Published 2025
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  8. 128
    Evaluation indexes of different methods on the test set.

    Evaluation indexes of different methods on the test set. by Wenbing Shi (5806160)

    Published 2025
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  9. 129
    The speciation of ANEAT model evolution.

    The speciation of ANEAT model evolution. by Wenbing Shi (5806160)

    Published 2025
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  10. 130
    The analysis of feature importance.

    The analysis of feature importance. by Wenbing Shi (5806160)

    Published 2025
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  11. 131
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  12. 132
    The fitness of ANEAT model evolution.

    The fitness of ANEAT model evolution. by Wenbing Shi (5806160)

    Published 2025
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  13. 133
    The structure of the ANEAT model corresponds to the optimal species genome.

    The structure of the ANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

    Published 2025
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  14. 134
    The construction process of the CGO prediction model.

    The construction process of the CGO prediction model. by Wenbing Shi (5806160)

    Published 2025
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  15. 135
    The comparison of different prediction methods on the test set.

    The comparison of different prediction methods on the test set. by Wenbing Shi (5806160)

    Published 2025
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  16. 136
    The genome recombination of neuroevolution.

    The genome recombination of neuroevolution. by Wenbing Shi (5806160)

    Published 2025
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  17. 137
    The fitness of NANEAT model evolution.

    The fitness of NANEAT model evolution. by Wenbing Shi (5806160)

    Published 2025
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  18. 138
    The speciation of NANEAT model evolution.

    The speciation of NANEAT model evolution. by Wenbing Shi (5806160)

    Published 2025
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  19. 139
    Description of the dataset used for the machine learning algorithm.

    Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

    Published 2024
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  20. 140
    Code.

    Code. by Shamsuz Zoha (22339469)

    Published 2025
    “…This study aimed to identify the determinants of C-section delivery and develop an ML-based predictive model using data from the Bangladesh Demographic and Health Survey (BDHS) 2022. …”
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