Search alternatives:
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
model algorithm » novel algorithm (Expand Search), modbo algorithm (Expand Search), modeling algorithm (Expand Search)
cell algorithm » carlo algorithm (Expand Search), new algorithm (Expand Search), best algorithm (Expand Search)
data model » data models (Expand Search), data modeling (Expand Search)
element » elements (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
model algorithm » novel algorithm (Expand Search), modbo algorithm (Expand Search), modeling algorithm (Expand Search)
cell algorithm » carlo algorithm (Expand Search), new algorithm (Expand Search), best algorithm (Expand Search)
data model » data models (Expand Search), data modeling (Expand Search)
element » elements (Expand Search)
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Algorithmic experimental parameter design.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Spatial spectrum estimation for three algorithms.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Overview of the Cell2Spatial algorithm.
Published 2025“…SC and spatial transcriptomics (ST) data were standardized using <i>SCTransform</i> in Seurat, with cell-type-specific genes identified through a modified entropy-based method (Step 1). …”
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Overview of CINner’s mathematical model and simulation algorithm.
Published 2025“…All selection models are further subject to viability checkpoints. …”
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Scatter diagram of different principal elements.
Published 2025“…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …”
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ML algorithms used in this study.
Published 2025“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”
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