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Showing 101 - 120 results of 9,648 for search '(((( algorithm python function ) OR ( algorithm from function ))) OR ( algorithm l function ))', query time: 1.14s Refine Results
  1. 101
    S1 Dataset -

    S1 Dataset - by Yuh-Chin T. Huang (17867207)

    Published 2024
    “…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …”
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  2. 102
    Predictions from a Universal Value Function Approximator (UVFA) algorithm.

    Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

    Published 2025
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  3. 103
    Critical values of membership functions learned from the study cohort by the algorithm.

    Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

    Published 2023
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  4. 104
    Data is generated from ARMA (p, q) models with (p, q) , and the corresponding AIC table is created.

    Data is generated from ARMA (p, q) models with (p, q) , and the corresponding AIC table is created. by Jesse Wheeler (18462457)

    Published 2025
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  5. 105
    A Safe and Simple Algorithm for Adding and Adjusting Mealtime Insulin to Basal-Only Therapy

    A Safe and Simple Algorithm for Adding and Adjusting Mealtime Insulin to Basal-Only Therapy by Mary L. Johnson (6254417)

    Published 2022
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  6. 106
    Verification of the in-line PS function.

    Verification of the in-line PS function. by Raul Castañeda (13932971)

    Published 2022
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  7. 107
    Available functions in the utility package.

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

    Published 2022
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  8. 108
    Sensitivity of the system with respect to variation of l 2% of the functions .

    Sensitivity of the system with respect to variation of l 2% of the functions . by Mario Saviano (17389551)

    Published 2023
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  9. 109
    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta

    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

    Published 2021
    “…The <i>GlycanDock</i> algorithm can sample and discriminate among protein–glycoligand models of native-like structural accuracy with statistical reliability from starting structures of up to 7 Å root-mean-square deviation in the glycoligand ring atoms. …”
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  10. 110
    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta

    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

    Published 2021
    “…The <i>GlycanDock</i> algorithm can sample and discriminate among protein–glycoligand models of native-like structural accuracy with statistical reliability from starting structures of up to 7 Å root-mean-square deviation in the glycoligand ring atoms. …”
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  11. 111
    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta

    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

    Published 2021
    “…The <i>GlycanDock</i> algorithm can sample and discriminate among protein–glycoligand models of native-like structural accuracy with statistical reliability from starting structures of up to 7 Å root-mean-square deviation in the glycoligand ring atoms. …”
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  12. 112
    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta

    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

    Published 2021
    “…The <i>GlycanDock</i> algorithm can sample and discriminate among protein–glycoligand models of native-like structural accuracy with statistical reliability from starting structures of up to 7 Å root-mean-square deviation in the glycoligand ring atoms. …”
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  13. 113
    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta

    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

    Published 2021
    “…The <i>GlycanDock</i> algorithm can sample and discriminate among protein–glycoligand models of native-like structural accuracy with statistical reliability from starting structures of up to 7 Å root-mean-square deviation in the glycoligand ring atoms. …”
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  14. 114
    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of the voltage profile improvement by using (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  15. 115
    Convergence curves of voltage stability enhancement based on (a) the HFPSO algorithm and (b) the PSO algorithm.

    Convergence curves of voltage stability enhancement based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  16. 116
    Reconstructed images using <i>ℓ</i><sub>2</sub> and <i>ℓ</i><sub>2</sub>-smth algorithms for the first study case.

    Reconstructed images using <i>ℓ</i><sub>2</sub> and <i>ℓ</i><sub>2</sub>-smth algorithms for the first study case. by Mona Selim (12969227)

    Published 2022
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  17. 117
    Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i>

    Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i> by McKenna Feltes (11242085)

    Published 2025
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  18. 118
    Sensitivity results from the Morris screening algorithm.

    Sensitivity results from the Morris screening algorithm. by Mitchel J. Colebank (7390403)

    Published 2022
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  19. 119
    Available functions in the phase-shifting package.

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

    Published 2022
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  20. 120
    Available functions in the numerical propagation package.

    Available functions in the numerical propagation package. by Raul Castañeda (13932971)

    Published 2022
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