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This study introduced a novel deep clustering approach for melanoma detection from dermoscopic images, demonstrating improved performance over existing methods by mitigating class imbalance issues using a center-oriented margin-free triplet loss.

In this study, Gaussian process regression models combined with Grey Wolf optimization were used to predict and optimize phenolic and flavonoid content extraction from Carthamus caeruleus L. rhizomes, showing high accuracy and helping improve understanding and extraction processes through a new interactive tool.

This chapter discusses Bayesian networks, their properties, and how they enable probabilistic inference with continuous variables, but it reports no new findings.

The researchers reported that differences in brain functional connectivity between unmedicated seasonal affective disorder patients and healthy controls vary with ICA model order, peaking in volume at model order 70.

This study's molecular dynamics simulations suggest that electrostatic interactions mainly stabilize peptide binding to human hair keratin, with the protein's dielectric constant significantly affecting free energy calculations.