AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 16 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
H-FANet, a hierarchical fusion attention network with a three-branch backbone, improved land cover identification accuracy and could be applied to fields such as environmental monitoring, urban land use analysis, and ecological protection.
The proposed dual-view X-ray-to-CT reconstruction framework based on vector quantized variational autoencoders (VQ-VAEs) and Transformer-based latent code translation successfully synthesizes structurally plausible 3D CT volumes from only two X-ray views, and improves structural similarity and reduces reconstruction er...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.