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Showing 101 - 120 results of 4,779 for search '(((( algorithm maml function ) OR ( algorithm b function ))) OR ( algorithm python function ))*', query time: 0.72s Refine Results
  1. 101
    Flowchart of DAPF-RRT algorithm.

    Flowchart of DAPF-RRT algorithm. by Zhenggang Wang (1753657)

    Published 2025
    “…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”
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  2. 102
    Performance comparison of different algorithms.

    Performance comparison of different algorithms. by Zhenggang Wang (1753657)

    Published 2025
    “…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”
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  3. 103
    Schematic diagram of the TEAPS algorithm.

    Schematic diagram of the TEAPS algorithm. by Yoshiaki Kariya (13767985)

    Published 2022
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  4. 104
    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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  5. 105
    Flowchart of the phase optimization algorithm.

    Flowchart of the phase optimization algorithm. by Maxim Terekhov (3429614)

    Published 2021
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  6. 106
    CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20.

    CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. by Ruyi Dong (9038174)

    Published 2025
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  7. 107
    <b>The Application of the Optimized Genetic Algorithm in SerDes Circuit Design</b>

    <b>The Application of the Optimized Genetic Algorithm in SerDes Circuit Design</b> by Xuan Wei (18564826)

    Published 2024
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  8. 108
    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures.

    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

    Published 2023
    “…Our ISA algorithm correlates with the much more sophisticated ROSETTA algorithm with a Pearson correlation coefficient of 0.88 (B). …”
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  9. 109
    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></sup>Different stimuli are displayed equally. If desired by the user, some stimuli can be displayed more/less frequently by assigning them a higher/lower weight.

    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

    Published 2025
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  10. 110
    Proposed algorithm flowchart.

    Proposed algorithm flowchart. by Fadhil Mukhlif (8411451)

    Published 2020
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  11. 111
    Modeling with uniform <i>σ</i> values.

    Modeling with uniform <i>σ</i> values. by Giacomo Janson (8138517)

    Published 2019
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  12. 112
    Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms.

    Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms. by Ruyi Dong (9038174)

    Published 2025
    “…<p>Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms.…”
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  13. 113
    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling.

    Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

    Published 2019
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  14. 114
    Performance comparison in CP-EE model (a) SVR model (b) BPNN model (c) RF model (d) MS-GEP model.

    Performance comparison in CP-EE model (a) SVR model (b) BPNN model (c) RF model (d) MS-GEP model. by Jin Ding (11522)

    Published 2023
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  15. 115
    Convergence curve of others functions compared with the PSO family algorithms.

    Convergence curve of others functions compared with the PSO family algorithms. by Yong Gao (29929)

    Published 2023
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  16. 116
    Convergence curve of unimodal functions compared with the PSO family algorithms.

    Convergence curve of unimodal functions compared with the PSO family algorithms. by Yong Gao (29929)

    Published 2023
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  17. 117
    Convergence curve of unimodal functions compared with the meta-heuristic algorithms.

    Convergence curve of unimodal functions compared with the meta-heuristic algorithms. by Yong Gao (29929)

    Published 2023
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  18. 118
    Convergence curve of others functions compared with the meta-heuristic algorithms.

    Convergence curve of others functions compared with the meta-heuristic algorithms. by Yong Gao (29929)

    Published 2023
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  19. 119
    Convergence curve of multimodal functions compared with the meta-heuristic algorithms.

    Convergence curve of multimodal functions compared with the meta-heuristic algorithms. by Yong Gao (29929)

    Published 2023
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  20. 120
    Convergence curve of multimodal functions compared with the PSO family algorithms.

    Convergence curve of multimodal functions compared with the PSO family algorithms. by Yong Gao (29929)

    Published 2023
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