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The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features
Research article (2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC), 2022) · cited 13× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-capability-of-recurrent-neural-networks-to-predict-turbulence-flow-via-spatiotemporal-features
MLA“The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-capability-of-recurrent-neural-networks-to-predict-turbulence-flow-via-spatiotemporal-features.
BibTeX@misc{4ortxyz_the-capability-of-recurrent-neural-networks-to-predict-turbulence-flow-via-spatiotemporal-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features}}, year = {2026}, url = {https://4ort.xyz/entity/the-capability-of-recurrent-neural-networks-to-predict-turbulence-flow-via-spatiotemporal-features}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features — https://4ort.xyz/entity/the-capability-of-recurrent-neural-networks-to-predict-turbulence-flow-via-spatiotemporal-features (retrieved 2026-05-24)