Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
algorithm body » algorithm both (Expand Search), algorithm model (Expand Search), algorithm blood (Expand Search)
body function » cost function (Expand Search)
Showing 81 - 100 results of 13,113 for search '(( algorithm using function ) OR ((( algorithm python function ) OR ( algorithm body function ))))*', query time: 0.60s Refine Results
  1. 81
    The used test functions in the evaluation.

    The used test functions in the evaluation. by Xuan Chen (158617)

    Published 2021
    Save to List
    Saved in:
  2. 82
    Example of use of the slightly off-axis strategies.

    Example of use of the slightly off-axis strategies. by Raul Castañeda (13932971)

    Published 2022
    Save to List
    Saved in:
  3. 83
    Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm.

    Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm. by Turgay Şengül (12801990)

    Published 2024
    “…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm.…”
    Save to List
    Saved in:
  4. 84
    Flowchart for the genetic algorithm used in this article.

    Flowchart for the genetic algorithm used in this article. by Behnam Kia (6111551)

    Published 2020
    Save to List
    Saved in:
  5. 85
    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, the temporal molecular states <i>n</i> at specific time <i>t</i> will be generated for further visualization.

    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

    Published 2025
    Save to List
    Saved in:
  6. 86
    Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image size of 1024 × 1024 pixels. The reported results are based on five independent replicates.

    Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image... by Xiaoke Liu (11388323)

    Published 2025
    Save to List
    Saved in:
  7. 87
    Eight commonly used benchmark functions.

    Eight commonly used benchmark functions. by Guangwei Liu (181992)

    Published 2023
    “…The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. …”
    Save to List
    Saved in:
  8. 88
    Benchmark functions T-test for the proposed and compared algorithms.

    Benchmark functions T-test for the proposed and compared algorithms. by El-Sayed M. El-kenawy (14581088)

    Published 2023
    Save to List
    Saved in:
  9. 89
    Proposed algorithm convergence curves versus other competing algorithms for the seven benchmark functions.

    Proposed algorithm convergence curves versus other competing algorithms for the seven benchmark functions. by El-Sayed M. El-kenawy (14581088)

    Published 2023
    Save to List
    Saved in:
  10. 90
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
    Save to List
    Saved in:
  11. 91
    FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz

    FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 92
    Graph of convergence of PSO algorithm fitness function.

    Graph of convergence of PSO algorithm fitness function. by Mohammed F. Elnaggar (18297954)

    Published 2024
    Save to List
    Saved in:
  13. 93
    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions.

    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions. by El-Sayed M. El-kenawy (14581088)

    Published 2023
    Save to List
    Saved in:
  14. 94
    Algorithmic flow of the verifiable delay function.

    Algorithmic flow of the verifiable delay function. by Xinhao Zheng (16637664)

    Published 2024
    Save to List
    Saved in:
  15. 95
    Comparison results on benchmark functions with traditional algorithms.

    Comparison results on benchmark functions with traditional algorithms. by Xiaoyi Zhang (577299)

    Published 2023
    Save to List
    Saved in:
  16. 96
    Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model.

    Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model. by Turgay Şengül (12801990)

    Published 2024
    “…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model.…”
    Save to List
    Saved in:
  17. 97
    The influence of different values of α on HMDB-51 about accuracy.

    The influence of different values of α on HMDB-51 about accuracy. by Yizhen Meng (13184281)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  18. 98
    The influence of different values of α on UCF-101 about accuracy.

    The influence of different values of α on UCF-101 about accuracy. by Yizhen Meng (13184281)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  19. 99
    The confusion matrix of the first sectionalization in HMDB-51 under the input cropped image.

    The confusion matrix of the first sectionalization in HMDB-51 under the input cropped image. by Yizhen Meng (13184281)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  20. 100
    The bounding-box regression and category prediction process.

    The bounding-box regression and category prediction process. by Yizhen Meng (13184281)

    Published 2022
    Subjects:
    Save to List
    Saved in:

Search Tools: