Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...
Abstract: Recent diffusion generative model super-resolution (SR) methods have made great progress in remote sensing image quality enhancement. However, the representation learning capability of ...
Propose a novel and effective image super-resolution method that overcomes the shortcomings of existing methods and improves image super-resolution quality. Multi-level feature fusion adopts the ...
In recent years, single image super-resolution (SISR) based on deep learning has achieved excellent results. However, the consequent elevated computational and storage expenses limit its ...
This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...
The era of A.I. propaganda is here — and President Trump is an enthusiastic participant. After nationwide protests this weekend against Mr. Trump’s administration, the president posted an ...
Poor product images kill sales faster than high shipping costs. In 2025, 93% of consumers consider visual appearance the key deciding factor in purchasing decisions. Low-resolution product photos ...
The significant contributions of this work are threefold. First, it leverages deep learning to extend in vivo imaging depth of two-photon excitation fluorescence microscopy, far beyond the depths ...
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