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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Park, Young-Bin | - |
| dc.contributor.author | Kim, Suhyeon | - |
| dc.date.accessioned | 2025-09-29T11:30:27Z | - |
| dc.date.available | 2025-09-29T11:30:27Z | - |
| dc.date.issued | 2025-08 | - |
| dc.description.degree | Master | - |
| dc.description | Department of Mechanical Engineering | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/88144 | - |
| dc.language | ENG | - |
| dc.publisher | Ulsan National Institute of Science and Technology | - |
| dc.rights.embargoReleaseDate | 9999-12-31 | - |
| dc.rights.embargoReleaseTerms | 9999-12-31 | - |
| dc.subject | Glass fiber-reinforced plastic (GFRP), Resin transfer molding (RTM), Electromechanical behavior, Long Short-Term Memory (LSTM), Intelligent defect prediction | - |
| dc.title | Deep Learning-based Dry-spot Prediction via Electrical Resistance Monitoring in Glass Fiber/Epoxy Composites during Vacuum Assisted Resin Transfer Molding | - |
| dc.type | Thesis | - |
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