Home ›
Entities
› academia
› Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid
Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid
Research article (Journal of Radiation Research and Applied Sciences, 2024) · cited 20× · AI/ML
Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid
Summary
Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid is a scholarly article[1].
Key Facts
Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-artificial-neural-networks-approach-for-thermal-conductivity-evaluation-in-porous-rectangular-wetted-fins-fil
MLA“Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-artificial-neural-networks-approach-for-thermal-conductivity-evaluation-in-porous-rectangular-wetted-fins-fil.
BibTeX@misc{4ortxyz_leveraging-artificial-neural-networks-approach-for-thermal-conductivity-evaluation-in-porous-rectangular-wetted-fins-fil_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-artificial-neural-networks-approach-for-thermal-conductivity-evaluation-in-porous-rectangular-wetted-fins-fil}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging artificial neural networks approach for thermal conductivity evaluation in porous rectangular wetted fins filled with ternary hybrid nanofluid — https://4ort.xyz/entity/leveraging-artificial-neural-networks-approach-for-thermal-conductivity-evaluation-in-porous-rectangular-wetted-fins-fil (retrieved 2026-05-24)