Forecasting of heat and mass transfer in Casson nanofluid flow with entropy optimization: Machine learning approach
Abstract The goal of this research is to deploy artificial neural networks (ANNs) to exploit the bioconvective flow of Casson nanofluid across a heated Riga plate with swimming microbes. The ANNs furnish a versatile computational framework that is very helpful in intricate domains, including biotech...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07364-9 |
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