Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization development and accelerates model parameter extraction for advanced nodes, ...

This valuable study presents a technically sophisticated intravital two-photon calcium imaging approach to characterize Ca²⁺ dynamics in distinct populations of meningeal macrophages in awake, freely ...

Variable flux permanent magnet machines represent a dynamic class of electrical machines in which the air-gap magnetic flux can be actively adjusted during operation. This flexibility permits improved ...

Abstract: In this article, the synchronous reluctance machine (SynRM) based on a hybrid material rotor core (hybrid core) is proposed, whose innovative rotor structure is designed using a combination ...

Abstract: Permanent magnet synchronous machine (PMSM) drives have emerged as one of the most preferred electric drives for industrial applications owing to their distinguished advantages, such as high ...

You will be redirected to our submission process. The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to unravel the complexity ...

Objectives: Undiagnosed osteoporosis before spinal surgery increases severe complication risks. This study develops the machine learning-based CT radiomics model to preoperatively screen lumbar ...