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Showing 61 - 80 results of 14,293 for search '(((( algorithm b function ) OR ( algorithms using function ))) OR ( algorithm python function ))', query time: 0.93s Refine Results
  1. 61
    Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP.

    Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. by Jin Ding (11522)

    Published 2023
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  2. 62
    Gene function enrichment analysis: GO function enrichment analysis (A) and KEGG pathway enrichment analysis (B).

    Gene function enrichment analysis: GO function enrichment analysis (A) and KEGG pathway enrichment analysis (B). by Yaling Hu (11648397)

    Published 2021
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  3. 63
    Algorithm detection steps.

    Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

    Published 2025
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  4. 64
    Population diversity comparison on all function (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP.

    Population diversity comparison on all function (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. by Jin Ding (11522)

    Published 2023
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  5. 65
    CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Usage during the Execution of Benchmark Functions F41-F50.

    CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Us... by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  6. 66
    Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F31-F40 and (c) Convergence curves of the average best fitness for functions F41-F50.

    Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F3... by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  7. 67
    Cost functions implemented in Neuroptimus.

    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
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  8. 68
    Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>"

    Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>" by Jiaqing Wang (18814630)

    Published 2024
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  9. 69
    Flowchart of MOSRS algorithm.

    Flowchart of MOSRS algorithm. by Vahid Goodarzimehr (21343124)

    Published 2025
    “…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. MOSRS was robust in finding the best PF in most studied problems. …”
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  10. 70
    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data

    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

    Published 2022
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  11. 71
    Construction of the PRG score index using integrated machine learning algorithms.

    Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

    Published 2025
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  12. 72
    Linear relationship between ln(methadone concentration) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function.

    Linear relationship between ln(methadone concentration) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. by Andrew H. Talal (8727396)

    Published 2020
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  13. 73
    Linear relationship between ln(methadone metabolism) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function.

    Linear relationship between ln(methadone metabolism) and ln(methadone dose) by enantiomer and <i>CYP2B6</i> genotype function. by Andrew H. Talal (8727396)

    Published 2020
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  14. 74
    RMSE comparison in all test function (a) F1 (b) F2 (c) F3 (d) F4 (e) F5 (f) F6 (g) F7 (h) F8 (i) F9 (j) F10.

    RMSE comparison in all test function (a) F1 (b) F2 (c) F3 (d) F4 (e) F5 (f) F6 (g) F7 (h) F8 (i) F9 (j) F10. by Jin Ding (11522)

    Published 2023
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  15. 75
    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space

    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

    Published 2020
    “…The “ADT” program can be efficiently used to (a) formulate analytic functional forms of differential equations for ADT angles and diabatic potential energy matrix and (b) solve the set of coupled differential equations numerically to evaluate ADT angles, residue due to singularity­(ies), ADT matrices, and finally, diabatic potential energy surfaces (PESs). …”
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  16. 76
    Schematics for gmxapi operations.

    Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

    Published 2022
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  17. 77
    gmxapi usage examples.

    gmxapi usage examples. by M. Eric Irrgang (4487278)

    Published 2022
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  18. 78
    Visual depiction of the MSA algorithm.

    Visual depiction of the MSA algorithm. by Kayson Fakhar (12890364)

    Published 2022
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  19. 79
    Compare topologies when using the WOA algorithm to solve the RNP problem by different methods.

    Compare topologies when using the WOA algorithm to solve the RNP problem by different methods. by Le Huu Binh (18340233)

    Published 2025
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  20. 80
    Compare topologies when using the MVO algorithm to solve the RNP problem by different methods.

    Compare topologies when using the MVO algorithm to solve the RNP problem by different methods. by Le Huu Binh (18340233)

    Published 2025
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