Application of artificial intelligence brain structure-based paradigm to predict the slip condition impact on magnetized thermal Casson viscoplastic fluid model under combined temperature dependent viscosity and thermal conductivity
One of the main reasons for the popularity of ANNs is their wonderful capability to handle very complex and nonlinear mathematical problems. It can, therefore, provide a very valuable computational framework wide in applications, from biotechnology to biological computation and fluid dynamics. In th...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X24017337 |
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