يعرض 201 - 220 نتائج من 12,434 نتيجة بحث عن '(( algorithm python function ) OR ((( algorithm pre function ) OR ( algorithm 1 function ))))', وقت الاستعلام: 0.74s تنقيح النتائج
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    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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    Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. حسب Yao Peng (1928524)

    منشور في 2023
    "…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…"
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    Algorithm pseudocode. حسب Cheng-jie Chen (22272090)

    منشور في 2025
    "…The experimental results show that the proposed method enhances the image with a PCQI of 1.033, an IQE of 0.610, an IQM of 1.830, and an information entropy higher than 0.7. …"
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    Glioblastoma multiforme (GBM) pathway modules identified by the netboxr package from cancer genomics alteration data without the use of pre-defined gene sets. حسب Eric Minwei Liu (9592176)

    منشور في 2020
    "…For more detailed understanding users should also inspect the function of the genes contained in the modules. In this glioblastoma example, the largest module (M1, light orange background) contains genes related to the PIK3 pathway and functions related to AKT signaling (also known as “PKB signaling” in the GO Gene Ontology). …"
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    Function test results. حسب Xiaowen Zhang (83669)

    منشور في 2023
    الموضوعات:
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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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    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling حسب Giacomo Janson (8138517)

    منشور في 2019
    "…This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …"
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