Search alternatives:
complement component » complex components (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
based making » based imaging (Expand Search), based mapping (Expand Search), based smoking (Expand Search)
Showing 1 - 20 results of 2,423 for search '(((( complement component algorithm ) OR ( elements _ algorithm ))) OR ( based making algorithm ))', query time: 0.42s Refine Results
  1. 1
    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40).

    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

    Published 2025
    Save to List
    Saved in:
  2. 2
    Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets.

    Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  3. 3
    Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements.

    Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. by Martina Bukač (20161460)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  4. 4
    Risk element category diagram.

    Risk element category diagram. by Yao Hu (3479972)

    Published 2025
    “…The LSTM algorithm can play a role in providing early warning, assisting decision-making, optimizing resources, and enhancing real-time monitoring in airport security assurance. …”
    Save to List
    Saved in:
  5. 5
    Computation time as a function of the sample size on the chain graph dataset.

    Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  6. 6
    Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges).

    Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  7. 7
    Computation time as a function of the sample size on the random graph dataset.

    Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  8. 8
    F1 score of edges selected through cross-validation on the chain graph dataset.

    F1 score of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  9. 9
    Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges).

    Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  10. 10
    Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10).

    Examples of ground-truth graph structures with (<i>p</i>, <i>n</i><sub>≠0</sub>) = (10, 10). by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  11. 11
    Number of edges selected through cross-validation on the chain graph dataset.

    Number of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  12. 12
    Number of edges selected through cross-validation on the random graph dataset.

    Number of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  13. 13
    Graphs of the regularization terms.

    Graphs of the regularization terms. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  14. 14
    F1 score of a given number of selected edges on the chain graph dataset.

    F1 score of a given number of selected edges on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  15. 15
    Computation time as a function of the number of variables on the chain graph dataset.

    Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  16. 16
    Computation time as a function of the number of variables on the random graph dataset.

    Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  17. 17
    F1 score of a given number of selected edges on the random graph dataset.

    F1 score of a given number of selected edges on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  18. 18
    F1 score of edges selected through cross-validation on the random graph dataset.

    F1 score of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  19. 19
    IRS-assisted system model.

    IRS-assisted system model. by Sarmad Sohaib (21273402)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  20. 20
    Generalized architecture of an IRS system.

    Generalized architecture of an IRS system. by Sarmad Sohaib (21273402)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: