Smart Attention Network Clears the Murk From Underwater Images
Researchers in China have developed a content-guided attention network that restores color and detail in underwater images through efficient fusion ...
Researchers in China have developed a content-guided attention network that restores color and detail in underwater images through efficient fusion ...
Researchers have developed a generative adversarial network framework called StegoAdv-GAN that hides extractable secret messages inside images while simultaneously generating ...
Researchers have built a €170 Raspberry Pi-based imaging platform that measures scaffold pores with far greater repeatability than manual methods, ...
A new review in Artificial Intelligence Review charts four years of development of the Horse Herd Optimization Algorithm, a nature-inspired ...
Researchers have developed PlantVG, a low-cost computational tool that converts standard microscope images into 3D voxel models of plant stem ...
A laboratory study shows that the directions of breaking ocean waves are encoded in whitecap geometry, with narrower wave spectra ...
A new AI framework extracts the structural geometry, motifs, and color rules of traditional Weifang kites to support digital cataloging ...
Researchers have built an integrated AI framework that diagnoses corn leaf diseases in real time on a smartphone and forecasts ...
A prospective study of 96 knee replacement patients shows that digital radiography metal artifact reduction software significantly improves image quality ...
A comprehensive new survey maps how machine vision and deep learning are transforming pest detection, yield estimation, robotic harvesting, quality ...
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© 2025 Scienmag - Science Magazine