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Showing 121 - 140 results of 3,238 for search '(( algorithm from function ) OR ((( algorithm python function ) OR ( algorithm b function ))))', query time: 0.41s Refine Results
  1. 121
    Schematic representation of important placental morphological parameters.

    Schematic representation of important placental morphological parameters. by Diana C. de Oliveira (9220729)

    Published 2024
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  2. 122
    Behavioral results.

    Behavioral results. by Sam Hall-McMaster (10343795)

    Published 2025
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  3. 123
    Experimental design.

    Experimental design. by Sam Hall-McMaster (10343795)

    Published 2025
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  4. 124
    Comparison of city decoders trained on session one and session two data.

    Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

    Published 2025
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  5. 125
    Comparison of cue-locked and feedback-locked decoding.

    Comparison of cue-locked and feedback-locked decoding. by Sam Hall-McMaster (10343795)

    Published 2025
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  6. 126
    Decoding results.

    Decoding results. by Sam Hall-McMaster (10343795)

    Published 2025
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  7. 127
    Post scan feature estimates and confidence ratings.

    Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

    Published 2025
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  8. 128
    Computational and resource efficiency of different algorithms.

    Computational and resource efficiency of different algorithms. by Rui Li (4631)

    Published 2025
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  9. 129
    Validation tests of feature decoding during the associative memory paradigm.

    Validation tests of feature decoding during the associative memory paradigm. by Sam Hall-McMaster (10343795)

    Published 2025
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  10. 130
    Validation of the neural decoding pipeline.

    Validation of the neural decoding pipeline. by Sam Hall-McMaster (10343795)

    Published 2025
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  11. 131
    Choice behavior on individual test tasks.

    Choice behavior on individual test tasks. by Sam Hall-McMaster (10343795)

    Published 2025
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  12. 132
    Decoding evidence for policies on each individual test task.

    Decoding evidence for policies on each individual test task. by Sam Hall-McMaster (10343795)

    Published 2025
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  13. 133
    Pipeline of the interactor algorithm.

    Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

    Published 2025
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  14. 134
    A) Probability density of glucuronate-UDP as a function of three collective variables (CVs): the distance between the C6 atom of the sugar and the atom of Lys307, defined as <i>d</i><sub><i>k</i></sub>, and the two angles <i>γ</i> and <i>θ</i> describing the orientation of the sugar ring in a polar coordinate system. B) RMSD of the probability density with respect to the initial state, calculated after 1 ns of simulation. The density of states is complex, and stable populations are observed at the end of the simulation. C) Probability density of glucose-UDP. D) RMSD of the density of states calculated as in B). In this case, convergence is even clearer. The density functions were computed by including all replicas from the Hamiltonian replica exchange simulation, with weights determined using the WHAM algorithm.

    A) Probability density of glucuronate-UDP as a function of three collective variables (CVs): the distance between the C6 atom of the sugar and the atom of Lys307, defined as <i>d</i><sub><i>k</i></sub>, and the two angles <i>γ</i> and <i>θ</i> describing the orientation of the sugar ring in a polar coordinate system. B) RMSD of the probability density with respect to the initial state, calculated after 1 ns of simulation. The density of states is complex, and stable populations are observed at the end of the simulation. C) Probability density of glucose-UDP. D) RMSD of the density of states calculated as in B). In this case, convergence is even clearer. The density functions were computed by including all replicas from the Hamiltonian replica exchange simulation, with weights determined using the WHAM algorithm. by Davide Luciano (22822210)

    Published 2025
    “…The density functions were computed by including all replicas from the Hamiltonian replica exchange simulation, with weights determined using the WHAM algorithm.…”
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  15. 135
    Flowchart of MOSRS algorithm.

    Flowchart of MOSRS algorithm. by Vahid Goodarzimehr (21343124)

    Published 2025
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  16. 136
    Types of training algorithms.

    Types of training algorithms. by Caixia Yan (6647072)

    Published 2025
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  17. 137
    Performance assessment of Cell2Spatial in real ST data from various tissue types.

    Performance assessment of Cell2Spatial in real ST data from various tissue types. by Huamei Li (8815955)

    Published 2025
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  18. 138
    Objective function values of the algorithms across individual problem instances grouped by scale: (a) Small, (b) Medium, (c) Large, (d) Super-Large.

    Objective function values of the algorithms across individual problem instances grouped by scale: (a) Small, (b) Medium, (c) Large, (d) Super-Large. by Panfei Li (22379086)

    Published 2025
    “…<p>Objective function values of the algorithms across individual problem instances grouped by scale: (a) Small, (b) Medium, (c) Large, (d) Super-Large.…”
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  19. 139
    EASP-AODV algorithm for route discovery at the intermediate node.

    EASP-AODV algorithm for route discovery at the intermediate node. by Tibebu Legesse (21030014)

    Published 2025
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  20. 140
    Functional enrichment and correlation analysis of hub DE-SRGs.

    Functional enrichment and correlation analysis of hub DE-SRGs. by Xihao Shen (20347942)

    Published 2024
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