Over the past decade, colloidal quantum dots (QDs) have emerged as promising materials for next-generation displays due to ...

Abstract: Deep autoencoder-based joint source-channel coding (JSCC) has gained significant attention for end-to-end image semantic communication systems. However, existing methods typically optimize a ...

BioRender helps scientists draw biological diagrams more easily and communicate more efficiently. It’s used by half a million researchers.

Abstract: Current deep learning-based steganalyzers often depend on specific image dimensions, leading to inevitable adjustments in network structure when dealing with varied image sizes. This impedes ...