يعرض 1 - 20 نتائج من 13,705 نتيجة بحث عن '(( algorithm both function ) OR ((( algorithm its function ) OR ( algorithm 1 function ))))', وقت الاستعلام: 1.14s تنقيح النتائج
  1. 1

    The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

    منشور في 2024
    "…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"
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    The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

    منشور في 2024
    "…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"
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    Statistical results of various algorithms. حسب ZeSheng Lin (20501356)

    منشور في 2025
    "…Results from experiments confirm that the enhanced WOA algorithm outperforms the standard WOA algorithm in terms of both fitness value and convergence speed. …"
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    Images of partial benchmark functions. حسب ZeSheng Lin (20501356)

    منشور في 2025
    "…Results from experiments confirm that the enhanced WOA algorithm outperforms the standard WOA algorithm in terms of both fitness value and convergence speed. …"
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    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. حسب Yuanchen Zhao (12905580)

    منشور في 2024
    "…Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …"
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    Multi-scale detection of hierarchical community architecture in structural and functional brain networks حسب Arian Ashourvan (6685232)

    منشور في 2019
    "…Finally, we build an explicitly multimodal multiplex graph that combines both structural and functional connectivity in a single model, and we identify the topological scales where resting state functional connectivity and underlying structural connectivity show similar <i>versus</i> unique hierarchical community architecture. …"
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    Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx حسب Takatsugu Aihara (4433524)

    منشور في 2020
    "…<p>Resting-state functional connectivity (RSFC) has been generally assessed with functional magnetic resonance imaging (fMRI) thanks to its high spatial resolution. …"
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    Power consumption for SHA256 software algorithm. حسب Maytham S. Jabor (15853046)

    منشور في 2023
    "…When simulating both approaches, the energy consumed when replacing functions by hardware decreases up to 63%.…"
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    Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm. حسب Roberto Castro-Medina (21484990)

    منشور في 2025
    "…<p>Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm.…"
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    Dynamical comparison between Drosha and Dicer reveals functional motion similarities and dissimilarities حسب Rotem Aharoni (8108177)

    منشور في 2019
    "…The overall structural and catalytic reaction similarity of both proteins, on the one hand, and differences in the substrate and its binding mechanisms, on the other, suggest that both proteins also share dynamic similarities and dissimilarities. …"
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    Efficient algorithms to discover alterations with complementary functional association in cancer حسب Rebecca Sarto Basso (6728921)

    منشور في 2019
    "…We provide analytic evidence of the effectiveness of UNCOVER in finding high-quality solutions and show experimentally that UNCOVER finds sets of alterations significantly associated with functional targets in a variety of scenarios. In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …"
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    Hyperparameter settings of the algorithm 1. حسب Jin Xu (31283)

    منشور في 2024
    "…Therefore, this paper presents a novel adaptive control structure for the Twin Delayed Deep Deterministic Policy Gradient algorithm, which is based on a reference trajectory model (TD3-RTM). …"
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    Algorithm description and the effects of replay and forgetting on model performance. حسب Georgy Antonov (11938961)

    منشور في 2022
    "…Right: with MB forgetting (controlled by MB forgetting rate, <i>ϕ</i><sup><i>MB</i></sup>), the algorithm’s estimate of reward becomes an expectation of the reward function under its state-transition model. …"
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