Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). New architecture of deep recursive convolution networks for super-resolution. Retrieved May 24, 2026, from https://4ort.xyz/entity/new-architecture-of-deep-recursive-convolution-networks-for-super-resolution
MLA“New architecture of deep recursive convolution networks for super-resolution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/new-architecture-of-deep-recursive-convolution-networks-for-super-resolution.
BibTeX@misc{4ortxyz_new-architecture-of-deep-recursive-convolution-networks-for-super-resolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{New architecture of deep recursive convolution networks for super-resolution}}, year = {2026}, url = {https://4ort.xyz/entity/new-architecture-of-deep-recursive-convolution-networks-for-super-resolution}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): New architecture of deep recursive convolution networks for super-resolution — https://4ort.xyz/entity/new-architecture-of-deep-recursive-convolution-networks-for-super-resolution (retrieved 2026-05-24)
