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 ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...

This project implements DCGAN (Deep Convolutional GAN) for generating realistic images. The architecture uses convolutional layers in both generator and discriminator networks. It includes batch ...

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 ...

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 ...

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...