Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm cost » algorithm could (Expand Search), algorithms across (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
cost function » cell function (Expand Search)
Showing 41 - 60 results of 2,381 for search '(((( algorithm flow function ) OR ( algorithm cost function ))) OR ( algorithm python function ))', query time: 1.01s Refine Results
  1. 41
    Algorithmic flow of the verifiable delay function.

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

    Published 2024
    “…<p>Algorithmic flow of the verifiable delay function.</p>…”
    Save to List
    Saved in:
  2. 42
    Test function convergence curve.

    Test function convergence curve. by Anqi Jiang (4583380)

    Published 2025
    “…<div><p>As the new generation of information technology matures and improves, the functions of intelligent connected vehicles become more and more perfect, and the number of urban connected vehicles is also increasing. …”
    Save to List
    Saved in:
  3. 43
    Hit and correct rejection rates (black lines, left axis) and payoff (colored lines, right axis) as a function of start point bias for different group sizes and error costs for cooperative groups.

    Hit and correct rejection rates (black lines, left axis) and payoff (colored lines, right axis) as a function of start point bias for different group sizes and error costs for coop... by Alan N. Tump (9621750)

    Published 2022
    Save to List
    Saved in:
  4. 44
    Flowchart demonstrates the optimization procedure of the basic HFPSO method sit [51].

    Flowchart demonstrates the optimization procedure of the basic HFPSO method sit [51]. by Abdullah Khan (377292)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  5. 45
    Optimum tuning of the dependent variables for various cases using the HFPSO technique (standard IEEE 30-bus test network).

    Optimum tuning of the dependent variables for various cases using the HFPSO technique (standard IEEE 30-bus test network). by Abdullah Khan (377292)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  6. 46
    Optimum solutions and tuning of the dependent variables for various cases based on the PSO technique (standard IEEE 30-bus test network).

    Optimum solutions and tuning of the dependent variables for various cases based on the PSO technique (standard IEEE 30-bus test network). by Abdullah Khan (377292)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  7. 47
    Evaluation of the solutions gained for voltage stability enhancement (Standard IEEE 30-bus test system).

    Evaluation of the solutions gained for voltage stability enhancement (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  8. 48
    Comparison of the results obtained for active power losses reduction (Standard IEEE 30-bus test system).

    Comparison of the results obtained for active power losses reduction (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  9. 49
    Comparison of the solutions obtained for reactive power losses minimization (Standard IEEE 30-bus test system).

    Comparison of the solutions obtained for reactive power losses minimization (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  10. 50
    One-line diagram of standard IEEE 30-bus test network.

    One-line diagram of standard IEEE 30-bus test network. by Abdullah Khan (377292)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  11. 51
    The flowchart demonstrates the application of the HFPSO method for OPF problems.

    The flowchart demonstrates the application of the HFPSO method for OPF problems. by Abdullah Khan (377292)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  12. 52
    Examination of the solutions gained for voltage profile improvement (Standard IEEE 30-bus test system).

    Examination of the solutions gained for voltage profile improvement (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  13. 53
    Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the common average.

    Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 54
    Code snippets to add user-specific custom functionality in PyNoetic.

    Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 55
    Flow chart of this algorithm.

    Flow chart of this algorithm. by Xuan Chen (158617)

    Published 2021
    Save to List
    Saved in:
  16. 56
    Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB"

    Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" by Pengfei Wu (11627371)

    Published 2023
    “…<p>The JAVA codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" are provided. …”
    Save to List
    Saved in:
  17. 57
    Modular architecture design of PyNoetic showing all its constituent functions.

    Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 58
    The probability density function for cost function g(X).

    The probability density function for cost function g(X). by Matheus Sant’Ana Lima (9937809)

    Published 2021
    Save to List
    Saved in:
  19. 59
    DE algorithm flow.

    DE algorithm flow. by Ling Zhao (111365)

    Published 2025
    Save to List
    Saved in:
  20. 60
    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks.

    Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: