Abstract: Synchronous machines are fundamental components. Accurate modelling of nonlinear magnetic saturation characteristics is essential. Traditional models often rely on computationally intensive ...

Abstract: This article explores the modeling of inter-turn short circuits (ITSCs) in segmented permanent magnet synchronous machines, with a focus on highly coupled segmentation (HCS) and multisector ...

You will be redirected to our submission process. Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many data-scarce regions.

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 ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...