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

Abstract: Integrating a large amount of hybrid Distributed Generation units has a substantial effect on the transient stability of IEEE 39-Bus System Base Model. With the increasing number of ...

Yann LeCun’s new venture, AMI Labs, has drawn intense attention since the AI scientist left Meta to found it. This week, the startup finally confirmed what it’s building — and several key details have ...

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 ...

Although CERN’s Large Hadron Collider has made a lasting impact on particle physics, it hasn’t yet open up a whole new frontier of particle physics like some scientists expected. One scientist ...

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 ...