Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/160820Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | João Ribeiro Magalhães | |
| dc.date.accessioned | 2025-11-12T07:07:02Z | - |
| dc.date.available | 2025-11-12T07:07:02Z | - |
| dc.date.issued | 2024-07-12 | |
| dc.date.submitted | 2024-07-22 | |
| dc.identifier.other | sigarra:681568 | |
| dc.identifier.uri | https://hdl.handle.net/10216/160820 | - |
| dc.language.iso | eng | |
| dc.rights | embargoedAccess | |
| dc.subject | Engenharia electrotécnica, electrónica e informática | |
| dc.subject | Electrical engineering, Electronic engineering, Information engineering | |
| dc.title | Improving Maintenance Strategies Using Generative AI: Evaluating Fine-Tuning and Retrieval-Augmented Generation | |
| dc.type | Dissertação | |
| dc.date.embargo | 2027-07-11 | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.doi | 10.34626/b99z-5y37 | |
| dc.identifier.tid | 203858875 | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática | |
| dc.subject.fos | Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| thesis.degree.discipline | Mestrado em Engenharia Eletrotécnica e de Computadores | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| rcaap.embargofct | Confidencialidade. | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 681568.pdf Restricted Access | Improving Maintenance Strategies Using Generative AI: Evaluating Fine-Tuning and Retrieval-Augmented Generation | 3.37 MB | Adobe PDF | View/Open |
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