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Showing 1 - 20 results of 84 for search '(( binary basic based optimization algorithm ) OR ( lines d cell optimization algorithm ))', query time: 1.15s Refine Results
  1. 1
    Visual Clustering Results of Algorithms on Four Lines Dataset.

    Visual Clustering Results of Algorithms on Four Lines Dataset. by Wei Xingqiong (21492703)

    Published 2025
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  2. 2
    Details of 23 basic benchmark functions.

    Details of 23 basic benchmark functions. by Ying Li (38224)

    Published 2024
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  3. 3
    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom.

    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom. by Masashi Yagi (3186909)

    Published 2023
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  4. 4
    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms.

    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms. by Masashi Yagi (3186909)

    Published 2023
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  5. 5
    Rationale for the calculation of the optimal .

    Rationale for the calculation of the optimal . by Irina Veith (10499821)

    Published 2021
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  6. 6
    3D model of the actuator of the flip mechanism.

    3D model of the actuator of the flip mechanism. by SHANG Xin (14559176)

    Published 2023
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  7. 7
    Distribution and survival based cutoff optimization for proportion of D2-40 stained sinus with respect to overall survival by “Cutoff Finder” algorithm.

    Distribution and survival based cutoff optimization for proportion of D2-40 stained sinus with respect to overall survival by “Cutoff Finder” algorithm. by Christina C. Westhoff (14498351)

    Published 2023
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  8. 8
    3D model of high-speed assembly machine structure execution.

    3D model of high-speed assembly machine structure execution. by SHANG Xin (14559176)

    Published 2023
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  9. 9
    Models generated by the optimized calibration pipeline predict cell-specific arrhythmia susceptibility.

    Models generated by the optimized calibration pipeline predict cell-specific arrhythmia susceptibility. by Janice Yang (5747246)

    Published 2024
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  10. 10
    The dynamic stress of the mechanism varies with diameter d of B<sub>1</sub>C<sub>1</sub>.

    The dynamic stress of the mechanism varies with diameter d of B<sub>1</sub>C<sub>1</sub>. by SHANG Xin (14559176)

    Published 2023
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  11. 11
    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario in the patient case.

    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario in the patient case. by Masashi Yagi (3186909)

    Published 2023
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  12. 12
    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach

    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

    Published 2020
    “…Benchmark datasets of aqueous solubility (log <i>S</i>), lipophilicity (log <i>D</i>), and membrane permeability measured using the Caco-2 cell line (log <i>P</i><sub>app</sub>) were constructed by merging and calibrating experimental data from diverse articles and databases. …”
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  13. 13
    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach

    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

    Published 2020
    “…Benchmark datasets of aqueous solubility (log <i>S</i>), lipophilicity (log <i>D</i>), and membrane permeability measured using the Caco-2 cell line (log <i>P</i><sub>app</sub>) were constructed by merging and calibrating experimental data from diverse articles and databases. …”
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  14. 14
    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach

    Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

    Published 2020
    “…Benchmark datasets of aqueous solubility (log <i>S</i>), lipophilicity (log <i>D</i>), and membrane permeability measured using the Caco-2 cell line (log <i>P</i><sub>app</sub>) were constructed by merging and calibrating experimental data from diverse articles and databases. …”
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  15. 15
    Matching percentages of pairwise comparisons within repeats of the same scan settings for D (default setting) and C (chosen optimal setting).

    Matching percentages of pairwise comparisons within repeats of the same scan settings for D (default setting) and C (chosen optimal setting). by Melvin Geubbelmans (19565593)

    Published 2024
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  16. 16
    Optimal <i>Q</i> analysis for chromosome 10.

    Optimal <i>Q</i> analysis for chromosome 10. by Dolores Bernenko (16528426)

    Published 2023
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  17. 17
    Highly sensitive conductance parameters are well-constrained by the optimized calibration pipeline.

    Highly sensitive conductance parameters are well-constrained by the optimized calibration pipeline. by Janice Yang (5747246)

    Published 2024
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  18. 18
    Single diode equivalent circuit of a solar cell.

    Single diode equivalent circuit of a solar cell. by Rana Ahmed (4923127)

    Published 2024
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  19. 19
    Cell-free DNA coverage and fragmentomic profiles produced under various sequencing protocols

    Cell-free DNA coverage and fragmentomic profiles produced under various sequencing protocols by Antoine Passemiers (17302912)

    Published 2024
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  20. 20
    Firing patterns of a-thorny cells encode more information about the statistics of presynaptic inputs.

    Firing patterns of a-thorny cells encode more information about the statistics of presynaptic inputs. by Daniele Linaro (227790)

    Published 2022
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