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: Deep convolutional neural networks can use hierarchical information to progressively extract structural information to recover high-quality images. However, preserving the effectiveness of ...
The new year is always a time for reflection, soul searching and festive-fuelled optimism in football. Those who have enjoyed an encouraging 2025 are already dreaming of glory in the coming year, ...
Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...
Abstract: 3-D image super-resolution (3-D-SR), the use of convolutional neural networks (CNNs), is a technique that is being explored to decorate the decision of three-D pics. With the aid of ...
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