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function optimization » reaction optimization (Expand Search), formulation optimization (Expand Search), generation optimization (Expand Search)
ap optimization » ai optimization (Expand Search), art optimization (Expand Search), gpu optimization (Expand Search)
based function » based functional (Expand Search), basis function (Expand Search), basis functions (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
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Showing 1 - 20 results of 65 for search '(( lines based ap optimization algorithm ) OR ( binary based function optimization algorithm ))', query time: 0.66s Refine Results
  1. 1
    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
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  2. 2
    DE algorithm flow.

    DE algorithm flow. by Ling Zhao (111365)

    Published 2025
    “…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …”
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  3. 3
    Test results of different algorithms.

    Test results of different algorithms. by Ling Zhao (111365)

    Published 2025
    “…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …”
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  4. 4
    mAP@0.5 line charts for different models.

    mAP@0.5 line charts for different models. by Meiling Shi (13148944)

    Published 2024
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  5. 5
    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses

    Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

    Published 2025
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  6. 6
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
    Subjects:
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  7. 7
    Algorithm verification.

    Algorithm verification. by Dmitrii Smirnov (8822324)

    Published 2020
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  8. 8
    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>.

    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>. by Benjamin Gallois (10131683)

    Published 2021
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  9. 9
    Comparison of presented algorithm precision to Bot et al.

    Comparison of presented algorithm precision to Bot et al. by Dmitrii Smirnov (8822324)

    Published 2020
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  10. 10
    the functioning of BRPSO.

    the functioning of BRPSO. by Hossein Jarrahi (22530251)

    Published 2025
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  11. 11
    RVOT experimental recordings.

    RVOT experimental recordings. by Dmitrii Smirnov (8822324)

    Published 2020
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  12. 12
    Heterogeneity of APD for Patient 1 and Patient 2.

    Heterogeneity of APD for Patient 1 and Patient 2. by Dmitrii Smirnov (8822324)

    Published 2020
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  13. 13
    Input baselines signal-to-noise ratio.

    Input baselines signal-to-noise ratio. by Dmitrii Smirnov (8822324)

    Published 2020
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  14. 14
    Model convergence to steady state.

    Model convergence to steady state. by Dmitrii Smirnov (8822324)

    Published 2020
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  15. 15
    <i>Patient 8</i> GA output model.

    <i>Patient 8</i> GA output model. by Dmitrii Smirnov (8822324)

    Published 2020
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  16. 16
    Random mutation direction in multi-dimensional parameter space.

    Random mutation direction in multi-dimensional parameter space. by Dmitrii Smirnov (8822324)

    Published 2020
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  17. 17
    Parameters dependence on the SNR.

    Parameters dependence on the SNR. by Dmitrii Smirnov (8822324)

    Published 2020
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  18. 18
    Cauchy mutation.

    Cauchy mutation. by Dmitrii Smirnov (8822324)

    Published 2020
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  19. 19
    Gaussian noise.

    Gaussian noise. by Dmitrii Smirnov (8822324)

    Published 2020
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  20. 20
    Solution sensitivity to the input baselines signal-to-noise ratio (SNR).

    Solution sensitivity to the input baselines signal-to-noise ratio (SNR). by Dmitrii Smirnov (8822324)

    Published 2020
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