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 ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

BEIJING -- A team of Chinese scientists has unveiled a high-resolution atlas detailing the global distribution of lunar surface chemistry, a significant advance that fills a critical data gap in the ...

Abstract: This project presents a deep learning-based solution to enhance image resolution using the Enhanced Deep Super-Resolution (EDSR) model. Unlike traditional interpolation methods, EDSR ...

Abstract: Image Super-Resolution (SR) has emerged as a critical task in various domains, allowing low-resolution (LR) photographs to be improved into their high-resolution (HR) equivalents. This study ...

A new imaging technique turns motion blur into an advantage, using a jiggling camera and a clever algorithm to create super-resolution images sharper than would be possible with a steady camera.

The significant contributions of this work are threefold. First, it leverages deep learning to extend in vivo imaging depth of two-photon excitation fluorescence microscopy, far beyond the depths ...