The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

Abstract: Dynamic State Estimation is a crucial task in power systems. Graph Neural Networks have demonstrated significant potential in dynamic state estimation, for power systems by effectively ...

Abstract: Sparse code multiple access (SCMA) is an important non-orthogonal multiple access technology for 5G and subsequent communication technologies, and its performance optimization is of great ...

The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...