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Showing 1 - 20 results of 2,615 for search '(((( algorithm phase function ) OR ( algorithm l function ))) OR ( algorithm npc function ))', query time: 0.76s Refine Results
  1. 1
    Schematic of the designed ROSA network, including power division, BFN, pase compensation and phase shifter units, for which the geometry parameters are L-PD = 17.54, L-BFN = 84.5, L-PC = 7.75, L-Ant. = 7.5, L-CC. = 8.9, W-feed = 2.3, L-p = 4.3, W-Ant. = 7.5, W-Track = 0.39, W-CC. = 8.9, W-P = 3.9, and tsub = 0.127 all in the unit of mm.

    Schematic of the designed ROSA network, including power division, BFN, pase compensation and phase shifter units, for which the geometry parameters are L-PD = 17.54, L-BFN = 84.5,... by Maryam Shadi (14237349)

    Published 2022
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  2. 2
    Phase diagram for global archetype model as a function of temperature.

    Phase diagram for global archetype model as a function of temperature. by Giulio Ruffini (383994)

    Published 2023
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  3. 3
    Flowchart of P&O-based MPPT algorithm.

    Flowchart of P&O-based MPPT algorithm. by Luqman Khan (17921419)

    Published 2024
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  4. 4
    Highly Accurate Prediction of Core Spectra of Molecules at Density Functional Theory Cost: Attaining Sub-electronvolt Error from a Restricted Open-Shell Kohn–Sham Approach

    Highly Accurate Prediction of Core Spectra of Molecules at Density Functional Theory Cost: Attaining Sub-electronvolt Error from a Restricted Open-Shell Kohn–Sham Approach by Diptarka Hait (2835971)

    Published 2020
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  5. 5
    Highly Accurate Prediction of Core Spectra of Molecules at Density Functional Theory Cost: Attaining Sub-electronvolt Error from a Restricted Open-Shell Kohn–Sham Approach

    Highly Accurate Prediction of Core Spectra of Molecules at Density Functional Theory Cost: Attaining Sub-electronvolt Error from a Restricted Open-Shell Kohn–Sham Approach by Diptarka Hait (2835971)

    Published 2020
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  6. 6
    Effective cluster radius from Ripley’s H-function for the NPC dataset.

    Effective cluster radius from Ripley’s H-function for the NPC dataset. by Daniel F. Nino (9745709)

    Published 2020
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  7. 7
    Diagram of the algorithm used during the training phase.

    Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

    Published 2023
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  8. 8
    Meta-analysis of EBV GWAS of NPC.

    Meta-analysis of EBV GWAS of NPC. by Ka Wo Wong (18625847)

    Published 2024
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  9. 9
    Flowchart of the phase optimization algorithm.

    Flowchart of the phase optimization algorithm. by Maxim Terekhov (3429614)

    Published 2021
    “…<p>At stage II, phase vectors {Φ<sup>top</sup>} providing cost function values F<sub>c</sub> above 90% of maximum are selected as initial condition {Φ<sub>0</sub>} for iterative NLS-search and selection of the optimum vectors {Φ<sup>opt</sup>}. …”
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  10. 10
    Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 100.

    Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 100. by Haiming Du (6691646)

    Published 2019
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  11. 11
    Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 30.

    Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 30. by Haiming Du (6691646)

    Published 2019
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  12. 12
    Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 50.

    Results of DE algorithms with our scheme and original DE algorithms when function dimensionality is set 50. by Haiming Du (6691646)

    Published 2019
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  13. 13
    Available functions in the phase-shifting package.

    Available functions in the phase-shifting package. by Raul Castañeda (13932971)

    Published 2022
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  14. 14
    Available functions in the phase reconstruction package.

    Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

    Published 2022
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  15. 15
    Comparison results on benchmark functions with traditional algorithms.

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

    Published 2023
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  16. 16
    Results of the PSO-Kmeans-ANMS algorithm for the Rastrigin function.

    Results of the PSO-Kmeans-ANMS algorithm for the Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  17. 17
    Results of the PSO-Kmeans-ANMS algorithm for the Rosenbrock function.

    Results of the PSO-Kmeans-ANMS algorithm for the Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  18. 18
    Performance metrics of 28 and 9 SNPs in predicting NPC.

    Performance metrics of 28 and 9 SNPs in predicting NPC. by Ka Wo Wong (18625847)

    Published 2024
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  19. 19
    Loss function values of target detection algorithms during training.

    Loss function values of target detection algorithms during training. by Guodong Su (7876934)

    Published 2024
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  20. 20
    Pseudo algorithm of the GA algorithm used in this study.

    Pseudo algorithm of the GA algorithm used in this study. by Tuan Anh Pham (1346049)

    Published 2020
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