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 ...
Abstract: Recent advances in Super-Resolution (SR) image reconstruction using Convolutional Neural Networks (CNNs) have encountered significant challenges in effectively modeling the complex mapping ...
Abstract: Emerging virtual reality (VR) applications bring significant challenges to spherical image compression. Spherical images are first converted into planar images using projections like the ...
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