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). On the use of recurrent neural networks for fast and accurate non-uniform gas radiation modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-the-use-of-recurrent-neural-networks-for-fast-and-accurate-non-uniform-gas-radiation-modeling
MLA“On the use of recurrent neural networks for fast and accurate non-uniform gas radiation modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-the-use-of-recurrent-neural-networks-for-fast-and-accurate-non-uniform-gas-radiation-modeling.
BibTeX@misc{4ortxyz_on-the-use-of-recurrent-neural-networks-for-fast-and-accurate-non-uniform-gas-radiation-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On the use of recurrent neural networks for fast and accurate non-uniform gas radiation modeling}}, year = {2026}, url = {https://4ort.xyz/entity/on-the-use-of-recurrent-neural-networks-for-fast-and-accurate-non-uniform-gas-radiation-modeling}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): On the use of recurrent neural networks for fast and accurate non-uniform gas radiation modeling — https://4ort.xyz/entity/on-the-use-of-recurrent-neural-networks-for-fast-and-accurate-non-uniform-gas-radiation-modeling (retrieved 2026-05-24)