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coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
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cnn algorithm » mean algorithm (Expand Search), _ algorithm (Expand Search), ii algorithm (Expand Search)
box algorithm » best algorithm (Expand Search), _ algorithm (Expand Search), ii algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
complement cnn » complement c3 (Expand Search), complement c4d (Expand Search), complement c5 (Expand Search)
complement box » complement low (Expand Search), complement _ (Expand Search), complement 5a (Expand Search)
cnn algorithm » mean algorithm (Expand Search), _ algorithm (Expand Search), ii algorithm (Expand Search)
box algorithm » best algorithm (Expand Search), _ algorithm (Expand Search), ii algorithm (Expand Search)
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141
Pipeline for extraction of parameters for ML and DL.
Published 2025“…<p>(A) Diffusion MRI (dMRI) data from the HBN-POD2 sample is used as input to the algorithm. (B) In the initial step, whole-brain tractography is conducted (C) Major white matter pathways are identified based on the trajectory of the streamlines. …”
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142
Table 1_An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients.docx
Published 2025“…E. coli infection was identified based on microbiological results and diagnostic codes. Missing data were imputed using the missForest algorithm. …”
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143
Canopy Height Monitoring Data and Model of Hainan Tropical Rainforest National Park
Published 2025“…</p><p dir="ltr">The data in the folder (Code) includes the training code and prediction code for four machine learning algorithms (BP, CNN, GBDT, RF).…”
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144
archive.zip
Published 2025“…The dataset extracted from the archive consists of a large number of labeled images of wheat grains, organized in directories such as <code>wheat_for_cnn</code>, with filenames reflecting numerical categories (e.g., <code>10_1.jpg</code>, <code>100_5.jpg</code>, <code>200_0003.jpg</code>). …”
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145
TIR-Learner v3: New generation TE annotation program for identifying TIRs
Published 2025“…The old TIR suffers from slow execution on large genomes due to intense I/O operations and less efficient algorithms, it also lacks maintainability due to legacy dependency issues. …”
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146
Both Ankle fNIRS MI dataset
Published 2025“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”
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147
Right Knee fNIRS MI Dataset
Published 2025“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”
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148
Right Ankle fNIRS MI Dataset
Published 2025“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”
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149
Left Knee fNIRS MI Dataset
Published 2025“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”
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150
Left Ankle fNIRS MI Dataset
Published 2025“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”
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151
Both Knees fNIRS MI dataset
Published 2025“…<br></li></ul><p dir="ltr">This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.…”
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152
Supplementary file 1_A real-world disproportionality analysis of FDA adverse event reporting system (FAERS) events for lecanemab.docx
Published 2025“…Using the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS) algorithms, we conducted a comprehensive analysis of lecanemab-related AEs, restricting the analysis to AEs with the role code of primary suspect (PS).…”
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153
<b>Leveraging protected areas for dual goals of biodiversity conservation and zoonotic</b> <b>risk reduction</b>
Published 2025“…</p><p dir="ltr">Algorithms: Core Area Zonation (CAZ) and Additive Benefit Function (ABF).…”