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Showing 1 - 20 results of 3,593 for search '(((( algorithm phase function ) OR ( algorithm t4p function ))) OR ( algorithm both function ))', query time: 0.80s Refine Results
  1. 1
    Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX

    Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX by Shakiru A. Alaka (9302864)

    Published 2020
    “…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”
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  2. 2
    Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF

    Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF by Shakiru A. Alaka (9302864)

    Published 2020
    “…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”
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  3. 3
    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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  4. 4
    The number of inactive nodes as a function of time steps in (a) a random network and (b) a scale-free network.

    The number of inactive nodes as a function of time steps in (a) a random network and (b) a scale-free network. by Waseem Al-Aqqad (14123917)

    Published 2022
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  5. 5
    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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  6. 6
    Variations of loss functions versus epoch number.

    Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

    Published 2025
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  7. 7
    Available functions in the phase-shifting package.

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

    Published 2022
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  8. 8
    Available functions in the phase reconstruction package.

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

    Published 2022
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  9. 9
    Scatter plots showing the relationship between inter-site |Δθ| in high-<i>q</i> (y-axis) and low-<i>q</i> (x-axis) states for representative frequencies (columns) and the five behavioral conditions (row pairs).

    Scatter plots showing the relationship between inter-site |Δθ| in high-<i>q</i> (y-axis) and low-<i>q</i> (x-axis) states for representative frequencies (columns) and the five beha... by Melisa Menceloglu (7610213)

    Published 2024
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  10. 10
    Distributions of |Δθ| for the stable low-|Δθ| (left columns), stable high-|Δθ| (middle columns), and shifting-|Δθ| (right columns) networks for different <i>q</i> ranges in 5-percentile increments (color coded), for representative frequencies (rows) and the five behavioral conditions (column triplets labeled A-E).

    Distributions of |Δθ| for the stable low-|Δθ| (left columns), stable high-|Δθ| (middle columns), and shifting-|Δθ| (right columns) networks for different <i>q</i> ranges in 5-perce... by Melisa Menceloglu (7610213)

    Published 2024
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  11. 11
    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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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    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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  16. 16
    Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset.

    Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. by Jiaxi Wang (545353)

    Published 2020
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  17. 17
    Limitation of the conventional DBT reconstruction algorithm.

    Limitation of the conventional DBT reconstruction algorithm. by Yunsu Choi (11993484)

    Published 2022
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  18. 18
    Comparison of benchmark function results between improved algorithms.

    Comparison of benchmark function results between improved algorithms. by Xiaoyi Zhang (577299)

    Published 2023
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  19. 19
    Multi-functional liquid crystal devices based on random binary matrix algorithm

    Multi-functional liquid crystal devices based on random binary matrix algorithm by Tibin Zeng (10890697)

    Published 2023
    “…Using the new algorithm, several phase-mixing devices were fabricated, and the experiment verified the relationship of the light intensity, polarisation, phase and the algorithm. …”
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  20. 20
    The phases of automated BHV monitoring.

    The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

    Published 2019
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