Hyperspectral images (HSIs) with high spatial resolution are challenging to obtain directly due to sensor limitations. Deep learning is able to provide an end-to-end reconstruction solution from low ...

Semantic segmentation of high-resolution remote sensing images is vital in downstream applications such as land-cover mapping, urban planning, and disaster assessment. Existing Transformer-based ...

To our knowledge, this is the first report demonstrating quick lithography and high-resolution printing of DN (covalent and ionic) hydrogels within minutes. The ability to shape tough and stretchable ...

Thiol-reactive compounds, byproducts of wastewater chlorination, are under scrutiny for their high potential toxicity in water reuse applications. To date, a limited number of compounds have been ...

As atmospheric carbon dioxide levels continue to rise, the ocean plays a crucial role in helping to reduce the full impact of human-driven climate change by absorbing roughly a quarter of the ...

Here are the first-ever images released by the Vera C. Rubin Observatory Sweeping views of nebulae and dancing galaxies prove the telescope’s enormous field of view and ultra-high-res capabilities.