| dc.contributor.author | Sharan, Agam | |
| dc.date.accessioned | 2026-07-07T10:06:40Z | |
| dc.date.available | 2026-07-07T10:06:40Z | |
| dc.date.issued | 2026-06 | |
| dc.identifier.govdoc | NB19288 | |
| dc.identifier.uri | http://127.0.0.1/xmlui/handle/123456789/17545 | |
| dc.language.iso | en | en_US |
| dc.publisher | IIT Kharagpur | en_US |
| dc.subject | Fiber-Reinforced Composites | en_US |
| dc.subject | Ultimate Tensile Strength | en_US |
| dc.subject | Fatigue Life Prediction | en_US |
| dc.subject | Machine Learning | en_US |
| dc.subject | Artificial Neural Networks | en_US |
| dc.title | Hybrid Predictive Models for Assessing Static and Fatigue Behavior in Composite Laminates | en_US |
| dc.type | Thesis | en_US |