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Showing 21 - 40 results of 767 for search '(( algorithm harding function ) OR ( algorithm ((within function) OR (python function)) ))', query time: 0.51s Refine Results
  1. 21
    Overall framework diagram of the study.

    Overall framework diagram of the study. by Honglei Pang (22693724)

    Published 2025
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  2. 22
    Braking system model.

    Braking system model. by Honglei Pang (22693724)

    Published 2025
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  3. 23
    Vehicle parameters.

    Vehicle parameters. by Honglei Pang (22693724)

    Published 2025
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  4. 24
    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry.

    Function <i>χ</i><sub><i>opt</i></sub> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

    Published 2024
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  5. 25
    Distribution of cross correlations in functional connectivity in ABIDE sample.

    Distribution of cross correlations in functional connectivity in ABIDE sample. by Alexandria M. Jensen (6494957)

    Published 2024
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  6. 26
    Performance comparison of different mainstream algorithms.

    Performance comparison of different mainstream algorithms. by Haisong Xu (141729)

    Published 2025
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  7. 27
    Percentage totBurden and percentage maxBurden reduced by UnitGreedy, SingletonGreedy, FastGreedy and baselines for = 0.535 in Iowa for FRED (first column) and SafeGraph (second column).

    Percentage totBurden and percentage maxBurden reduced by UnitGreedy, SingletonGreedy, FastGreedy and baselines for = 0.535 in Iowa for FRED (first column) and SafeGraph (second col... by Jeffrey Keithley (14626551)

    Published 2025
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  8. 28
    Metapopulation model notation.

    Metapopulation model notation. by Jeffrey Keithley (14626551)

    Published 2025
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  9. 29
    Estimates of for each problem instance.

    Estimates of for each problem instance. by Jeffrey Keithley (14626551)

    Published 2025
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  10. 30
    The instance of MaxCasesAverted and MaxPeaksReduced is a graph <i>G</i> constructed from the given instance of Max k-SI.

    The instance of MaxCasesAverted and MaxPeaksReduced is a graph <i>G</i> constructed from the given instance of Max k-SI. by Jeffrey Keithley (14626551)

    Published 2025
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  11. 31
    Percentage totBurden and percentage maxBurden reduced by UnitGreedy, FastGreedy and baselines for = 0.525 in Texas for FRED (first column) and SafeGraph (second column).

    Percentage totBurden and percentage maxBurden reduced by UnitGreedy, FastGreedy and baselines for = 0.525 in Texas for FRED (first column) and SafeGraph (second column). by Jeffrey Keithley (14626551)

    Published 2025
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  12. 32
    Approximation factors for each problem instance.

    Approximation factors for each problem instance. by Jeffrey Keithley (14626551)

    Published 2025
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  13. 33
    Percentage totBurden and percentage maxBurden reduced by all approaches for = 0.5345 in New Hampshire for FRED (first column) and SafeGraph (second column).

    Percentage totBurden and percentage maxBurden reduced by all approaches for = 0.5345 in New Hampshire for FRED (first column) and SafeGraph (second column). by Jeffrey Keithley (14626551)

    Published 2025
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  14. 34
    FastGreedy, UnitGreedy, SingletonGreedy, 3-EnumGreedy, and POMS comparison with respect to practical running time (estimated for POMS) to achieve approximation guarantee for New Hampshire with and budgets.

    FastGreedy, UnitGreedy, SingletonGreedy, 3-EnumGreedy, and POMS comparison with respect to practical running time (estimated for POMS) to achieve approximation guarantee for New Ha... by Jeffrey Keithley (14626551)

    Published 2025
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  15. 35
    Comparison of average precision means of different algorithms.

    Comparison of average precision means of different algorithms. by Haisong Xu (141729)

    Published 2025
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  16. 36
    Algorithm comparison experiment on the RSOD dataset.

    Algorithm comparison experiment on the RSOD dataset. by Pingping Yan (462509)

    Published 2025
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  17. 37
    The parameters of algorithms.

    The parameters of algorithms. by Le Huu Binh (18340233)

    Published 2025
    “…However, solving the RNP problem in WMN is difficult because it is NP-hard. As a result, this problem can only be solved using approximate optimization algorithms such as heuristics and meta-heuristics. …”
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  18. 38
    ANOVA was performed to test the differences between the algorithms for each indicator.

    ANOVA was performed to test the differences between the algorithms for each indicator. by Jihui Hu (19812736)

    Published 2024
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  19. 39
    Heatmap results from the global sensitivity analysis for the generation of villous vessels within a placentone.

    Heatmap results from the global sensitivity analysis for the generation of villous vessels within a placentone. by Diana C. de Oliveira (9220729)

    Published 2024
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  20. 40
    The phase-field function for three different network configurations considered in this work.

    The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

    Published 2024
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