Development of robust machine learning models for predicting flexural strengths of fiber-reinforced polymeric composites
Fiber-reinforced composites are widely used in engineering applications due to their excellent physical and chemical properties. However, evaluating their flexural properties using conventional experimental techniques is time-consuming, costly, and limited by material and fabrication variations. Thi...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Hybrid Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773207X25000090 |
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