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: Deep learning (DL) has been widely applied in synthetic-aperture radar (SAR) imaging and recognition technology, including multiple operations such as image formation, enhancement, and ...

Abstract: The limitations of seismic vertical resolution pose significant challenges for the identification of thin beds. Improving the vertical resolution of seismic data using deep learning methods ...