Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios

Research article (Engineering Applications of Computational Fluid Mechanics, 2021) · cited 19× · AI/ML
Press Enter · cited answer in seconds

Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios

Summary

Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios is a scholarly article[1].

Key Facts

  • Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios. Retrieved May 24, 2026, from https://4ort.xyz/entity/discharge-coefficient-prediction-of-canal-radial-gate-using-neurocomputing-models-an-investigation-of-free-and-submerged
MLA “Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discharge-coefficient-prediction-of-canal-radial-gate-using-neurocomputing-models-an-investigation-of-free-and-submerged.
BibTeX @misc{4ortxyz_discharge-coefficient-prediction-of-canal-radial-gate-using-neurocomputing-models-an-investigation-of-free-and-submerged_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios}}, year = {2026}, url = {https://4ort.xyz/entity/discharge-coefficient-prediction-of-canal-radial-gate-using-neurocomputing-models-an-investigation-of-free-and-submerged}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios — https://4ort.xyz/entity/discharge-coefficient-prediction-of-canal-radial-gate-using-neurocomputing-models-an-investigation-of-free-and-submerged (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/discharge-coefficient-prediction-of-canal-radial-gate-using-neurocomputing-models-an-investigation-of-free-and-submerged · Last refreshed: