Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
range process » damage process (Expand Search), single process (Expand Search), prone process (Expand Search)
linear range » wider range (Expand Search)
binary layer » boundary layer (Expand Search), final layer (Expand Search), linear layer (Expand Search)
layer model » water model (Expand Search), linear model (Expand Search), cancer model (Expand Search)
Showing 1 - 20 results of 75 for search '(( linear range process optimization algorithm ) OR ( binary layer model optimization algorithm ))', query time: 0.67s Refine Results
  1. 1
    Hyperparameter settings for the optimization algorithms.

    Hyperparameter settings for the optimization algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 2
    Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms.

    Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 3
    Category range of secondary indicators.

    Category range of secondary indicators. by Yixuan Lu (9987980)

    Published 2023
    Save to List
    Saved in:
  4. 4
    Performance of the bAD-PSO-Guided WOA algorithm compared with another algorithm.

    Performance of the bAD-PSO-Guided WOA algorithm compared with another algorithm. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 5
    Performance of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm.

    Performance of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 6
    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.

    The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 7
    Total computational cost of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm.

    Total computational cost of the proposed AD-PSO-Guided WOA-LSTM algorithm compared with another algorithm. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 8
    Adaptive dynamic algorithm for Australia rainfall.

    Adaptive dynamic algorithm for Australia rainfall. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 9
    Hyperparameters of the LSTM Model.

    Hyperparameters of the LSTM Model. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    Prediction results of individual models.

    Prediction results of individual models. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 11
    Metrics for evaluating the performance of the proposed model.

    Metrics for evaluating the performance of the proposed model. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 12
    The linearly decreasing convergence factor a.

    The linearly decreasing convergence factor a. by Junhao Wei (6816803)

    Published 2025
    Save to List
    Saved in:
  13. 13
    The outcomes of the ANOVA results for the proposed AD-PSO-Guided WOA-LSTM algorithm for rainfall prediction.

    The outcomes of the ANOVA results for the proposed AD-PSO-Guided WOA-LSTM algorithm for rainfall prediction. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm.

    Analysis plots of the obtained results using the proposed AD-PSO-Guided WOA LSTM algorithm. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 15
    ROC curve for binary classification.

    ROC curve for binary classification. by Nicodemus Songose Awarayi (18414494)

    Published 2024
    “…The model further showed superior results on binary classification compared with existing methods. …”
    Save to List
    Saved in:
  16. 16
    Confusion matrix for binary classification.

    Confusion matrix for binary classification. by Nicodemus Songose Awarayi (18414494)

    Published 2024
    “…The model further showed superior results on binary classification compared with existing methods. …”
    Save to List
    Saved in:
  17. 17
    Linear-Scaling Local Natural Orbital CCSD(T) Approach for Open-Shell Systems: Algorithms, Benchmarks, and Large-Scale Applications

    Linear-Scaling Local Natural Orbital CCSD(T) Approach for Open-Shell Systems: Algorithms, Benchmarks, and Large-Scale Applications by P. Bernát Szabó (10526316)

    Published 2023
    Save to List
    Saved in:
  18. 18
    The AD-PSO-Guided WOA LSTM framework.

    The AD-PSO-Guided WOA LSTM framework. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 19
    A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range.

    A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range. by Jamison H. Burks (21029607)

    Published 2025
    Save to List
    Saved in:
  20. 20
    The illustration depicts our CQ-CNN architecture for binary image classification.

    The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

    Published 2025
    Save to List
    Saved in:

Search Tools: