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Showing 1,841 - 1,860 results of 6,160 for search '(( algorithm b function ) OR ((( algorithm python function ) OR ( algorithm within function ))))', query time: 0.58s Refine Results
  1. 1841
    Wavefield propagation and observed data.

    Wavefield propagation and observed data. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  2. 1842
    Case 2 (50 × 40).

    Case 2 (50 × 40). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
    “…<p>(a) Comparison between algorithms divided into: Class 1, success rates; Class 2, average CPU times and Class 3, average objective function values (<i>ϕ</i>(<b>m</b>) × 10<sup>2</sup>). …”
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  3. 1843
    Case 1 (100 × 20).

    Case 1 (100 × 20). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
    “…<p>(a) Comparison between algorithms divided into: Class 1, success rates; Class 2, average CPU times and Class 3, average objective function values (<i>ϕ</i>(<b>m</b>) × 10<sup>2</sup>). …”
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  4. 1844
    Case 3 (100 × 10).

    Case 3 (100 × 10). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
    “…<p>(a) Comparison between algorithms divided into: Class 1, success rates; Class 2, average CPU times and Class 3, average objective function values (<i>ϕ</i>(<b>m</b>) × 10<sup>2</sup>). …”
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  5. 1845
    Movements defined in the original Nelder-Mead Simplex.

    Movements defined in the original Nelder-Mead Simplex. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  6. 1846
    The yield and predicted content of the secondary structures in the LinB Wild Type (WT) and its mutants.

    The yield and predicted content of the secondary structures in the LinB Wild Type (WT) and its mutants. by Agata Raczyńska (5632502)

    Published 2023
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  7. 1847
    Case 1 (100 × 20).

    Case 1 (100 × 20). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  8. 1848
    Examples of the Hilbert curves.

    Examples of the Hilbert curves. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  9. 1849
    Exploration <i>versus</i> exploitation.

    Exploration <i>versus</i> exploitation. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  10. 1850
    Case 1 (100 × 20).

    Case 1 (100 × 20). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  11. 1851
    Case 1 (100 × 20).

    Case 1 (100 × 20). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  12. 1852
    Case 1 (100 × 20).

    Case 1 (100 × 20). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  13. 1853
    Case 1 (100 × 20).

    Case 1 (100 × 20). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  14. 1854
    Case 1 (100 × 20).

    Case 1 (100 × 20). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  15. 1855
    Parameter fitting for input and sampler layers in the EVA model.

    Parameter fitting for input and sampler layers in the EVA model. by Quynh-Anh Nguyen (847240)

    Published 2020
    “…Averages, including asymptotic values (written in parenthesis, at each <i>DF</i>), do not change with <i>N</i><sub><i>in</i></sub> but SEM decreases with a factor of . B: The signal detection algorithm [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>] generates neurometric functions using numerical data from IL-pools of <i>N</i><sub><i>in</i></sub> neuronal units; parameter <i>C</i><sub><i>th</i></sub> is chosen to yield the least-squares error of the experimental buildups and the computer-simulated neurometric functions for <i>DF</i> = 3,5,7. …”
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  16. 1856
    Data_Sheet_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF

    Data_Sheet_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …”
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  17. 1857
    Table_4_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX

    Table_4_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …”
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  18. 1858
    Table_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX

    Table_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …”
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  19. 1859
    Table_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX

    Table_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …”
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  20. 1860
    Table_5_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.docx

    Table_5_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.docx by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…Genetic algorithms, customized with K-Nearest Neighbor and BayesNet Naives as the fitness function, were developed and compared with Principal Component Analysis (PCA). …”
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