Automated CT scan analysis could fast-track clinical assessments

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...
IEEE

Proper Orthogonal Decomposition for Model Order Reduction of High Dimensional Parametric Problems with Varying Geometries Based on the Interface Adaptive Mesh

Abstract: The proper orthogonal decomposition (POD) is commonly applied for the model order reduction (MOR) of parametric problems. The method generates a reduced basis from the left singular vectors ...
IEEE

Reducing the Finite Element Analysis Based Electric Machine Simulation Effort to a Sixth without the Requirement of Specific Mesh Settings

Abstract: Electric machine optimization requires the analysis of hundreds to thousands of design candidates. As usually finite element analyses (FEA) are applied, this follows high computational cost ...