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algorithms python » algorithms within (Expand Search), algorithms often (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
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Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection
Published 2025“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”
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Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value.
Published 2024Subjects: -
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Distribution of cross correlations in functional connectivity in ABIDE sample.
Published 2024Subjects: -
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ANOVA was performed to test the differences between the algorithms for each indicator.
Published 2024Subjects: -
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Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.
Published 2024“…Whiskers show the lowest and highest values within 1.5 × <i>IQR</i> from the first and third quartiles, respectively. …”
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Comparison of different algorithms.
Published 2025“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”
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Study proposed algorithm.
Published 2025“…The index of microvascular resistance (IMR) is a specific physiological parameter used to assess microvascular function. Invasive coronary assessment has been shown to be both feasible and safe. …”