Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
Devdiscourse

AI-powered flood mapping could transform disaster preparedness worldwide

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

Chinese scientists refine lunar global chemistry mapping using farside ground truth information

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 ...
Brown University

Shaky cameras can make for sharper shots, new research shows

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.
IEEE

Single Image Super-Resolution Through Image Pixel Information Clustering and Generative Adversarial Network

Abstract: Recent advances in Super-Resolution (SR) image reconstruction using Convolutional Neural Networks (CNNs) have encountered significant challenges in effectively modeling the complex mapping ...
IEEE

Learned Spherical Image Compression With Spherical Convolution-Self-Attention and Transformer Context Model

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 ...