Search alternatives:
grouped algorithm » proposed algorithm (Expand Search), growth algorithm (Expand Search)
methods algorithm » means algorithm (Expand Search), network algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
based methods » mixed methods (Expand Search)
data grouped » data around (Expand Search), a grouped (Expand Search)
grouped algorithm » proposed algorithm (Expand Search), growth algorithm (Expand Search)
methods algorithm » means algorithm (Expand Search), network algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
based methods » mixed methods (Expand Search)
data grouped » data around (Expand Search), a grouped (Expand Search)
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Models grouped by dimension number for Bitcoin Alpha dataset, average metrics.
Published 2024Subjects: -
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Models grouped by dimension number for Bitcoin OTC dataset, average metrics.
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Average metrics for models grouped by dimension number for the TwiBot-20 dataset.
Published 2024Subjects: -
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Convergence curve of the DBO algorithm.
Published 2025“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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Overview of the ROI determination algorithm.
Published 2024Subjects: “…interest determination algorithm…”
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Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites.
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …”
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Scatter diagram of different principal elements.
Published 2025“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. …”
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