Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

Multitemporal change detection (CD) plays a crucial role in the remote sensing application field. In recent years, supervised deep learning methods have shown excellent performance in detecting ...

The recently introduced multiscale entropy (MSE) method accounts for long range correlations over multiple time scales and can therefore reveal the complexity of biological signals. The existing MSE ...

Baseline LDH and SII levels emerged as key predictors of survival outcomes in individuals with advanced melanoma receiving ...

Utilizing IR PiFM, researchers can accurately analyze contaminants and defects under 20 nm, enhancing surface ...

Multivariate logistic regression analysis indicated that, in comparison to the control group, postoperative constipation ...

The finding that basophil counts may have prognostic significance aligns with a growing body of research into basophils in ...