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common optimization » codon optimization (Expand Search), carbon optimization (Expand Search), cosmic optimization (Expand Search)
ap optimization » ai optimization (Expand Search), art optimization (Expand Search), gpu optimization (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
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based ap » based _ (Expand Search), based 3d (Expand Search), based co (Expand Search)
Showing 1 - 20 results of 30 for search '(( binary a common optimization algorithm ) OR ( lines based ap optimization algorithm ))', query time: 0.62s Refine Results
  1. 1
    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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  2. 2
    Algorithm verification.

    Algorithm verification. by Dmitrii Smirnov (8822324)

    Published 2020
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  3. 3
    Binary contingency table.

    Binary contingency table. by Lu Xiao (314030)

    Published 2024
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  4. 4
    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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  5. 5
    RVOT experimental recordings.

    RVOT experimental recordings. by Dmitrii Smirnov (8822324)

    Published 2020
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  6. 6
    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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  7. 7
    Input baselines signal-to-noise ratio.

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

    Published 2020
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  8. 8
    Model convergence to steady state.

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

    Published 2020
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  9. 9
    <i>Patient 8</i> GA output model.

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

    Published 2020
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  10. 10
    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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  11. 11
    Parameters dependence on the SNR.

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

    Published 2020
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  12. 12
    Cauchy mutation.

    Cauchy mutation. by Dmitrii Smirnov (8822324)

    Published 2020
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  13. 13
    Gaussian noise.

    Gaussian noise. by Dmitrii Smirnov (8822324)

    Published 2020
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  14. 14
    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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  15. 15
    Solution sensitivity to the number of input baselines.

    Solution sensitivity to the number of input baselines. by Dmitrii Smirnov (8822324)

    Published 2020
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  16. 16
    Tissue effects.

    Tissue effects. by Dmitrii Smirnov (8822324)

    Published 2020
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  17. 17
    Dynamics of [Na<sup>+</sup>]<sub>i</sub> and [Ca<sup>2+</sup>]<sub>nsr</sub> concentration.

    Dynamics of [Na<sup>+</sup>]<sub>i</sub> and [Ca<sup>2+</sup>]<sub>nsr</sub> concentration. by Dmitrii Smirnov (8822324)

    Published 2020
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  18. 18
    Solution sensitivity to the number of input baselines.

    Solution sensitivity to the number of input baselines. by Dmitrii Smirnov (8822324)

    Published 2020
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  19. 19
    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
    “…A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …”
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  20. 20
    DataSheet_1_Raman Spectroscopic Differentiation of Streptococcus pneumoniae From Other Streptococci Using Laboratory Strains and Clinical Isolates.pdf

    DataSheet_1_Raman Spectroscopic Differentiation of Streptococcus pneumoniae From Other Streptococci Using Laboratory Strains and Clinical Isolates.pdf by Marcel Dahms (9160118)

    Published 2022
    “…Improvement of the classification rate is expected with optimized model parameters and algorithms as well as with a larger spectral data base for training.…”
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