Discover a study validating the TRIUMPH machine learning model, which improves prediction of post-transplant recurrence in ...

Decision Tree Classification variants are among the most popular machine learning algorithms and have been applied in various fields with success. Their versatility and popularity along with the ease ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

With the recent first light milestone for the Vera Rubin Observatory, it's only a matter of time before one of astronomy's most long-awaited surveys begins. The Legacy Survey of Space and Time (LSST) ...

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

Permanent magnet arc motor (PMAM) is widely used in some scanning systems, such as the astronomical telescopes and large antennas. In order to address the optimization design of the PMAM, a new ...