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algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
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algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
which function » beach function (Expand Search)
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An example of the algorithm of the ORFanID engine is explained in a UML flow chart diagram.
Published 2023Subjects: -
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Training algorithm flow.
Published 2024“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”
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Algorithm flow of BBO.
Published 2024“…<div><p>The stable and site-specific operation of transmission lines is a crucial safeguard for grid functionality. This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”
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Algorithm Parameter Setting.
Published 2025“…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …”
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MChOA algorithm flow chart.
Published 2024“…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”
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Optimization flow chart of the AO algorithm.
Published 2024“…Subsequently, the constraint conditions and objective functions were determined. Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …”
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Hyperparameter settings of the algorithm 1.
Published 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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Efficient algorithms to discover alterations with complementary functional association in cancer
Published 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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Optimization flow of the co-simulation method.
Published 2025“…This strategy combines the design of experiments (DOE), genetic algorithm (GA), and NLPQL algorithm, which is referred to as the DGN method. …”
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