Thermal energy analysis using artificial neural network and particle swarm optimization approach in partially ionized hyperbolic tangent material with ternary hybrid nanomaterials

Research article (Swarm and Evolutionary Computation, 2024) · cited 42× · AI/ML
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Thermal energy analysis using artificial neural network and particle swarm optimization approach in partially ionized hyperbolic tangent material with ternary hybrid nanomaterials

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Thermal energy analysis using artificial neural network and particle swarm optimization approach in partially ionized hyperbolic tangent material with ternary hybrid nanomaterials is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Thermal energy analysis using artificial neural network and particle swarm optimization approach in partially ionized hyperbolic tangent material with ternary hybrid nanomaterials. Retrieved May 24, 2026, from https://4ort.xyz/entity/thermal-energy-analysis-using-artificial-neural-network-and-particle-swarm-optimization-approach-in-partially-ionized-hy
MLA “Thermal energy analysis using artificial neural network and particle swarm optimization approach in partially ionized hyperbolic tangent material with ternary hybrid nanomaterials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/thermal-energy-analysis-using-artificial-neural-network-and-particle-swarm-optimization-approach-in-partially-ionized-hy.
BibTeX @misc{4ortxyz_thermal-energy-analysis-using-artificial-neural-network-and-particle-swarm-optimization-approach-in-partially-ionized-hy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Thermal energy analysis using artificial neural network and particle swarm optimization approach in partially ionized hyperbolic tangent material with ternary hybrid nanomaterials}}, year = {2026}, url = {https://4ort.xyz/entity/thermal-energy-analysis-using-artificial-neural-network-and-particle-swarm-optimization-approach-in-partially-ionized-hy}, note = {Accessed: 2026-05-24}}
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