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https://hdl.handle.net/10216/144224Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Nuno Gonçalo Dias Gaspar | |
| dc.date.accessioned | 2025-11-06T22:34:41Z | - |
| dc.date.available | 2025-11-06T22:34:41Z | - |
| dc.date.issued | 2022-09-29 | |
| dc.date.submitted | 2022-10-11 | |
| dc.identifier.other | sigarra:584186 | |
| dc.identifier.uri | https://hdl.handle.net/10216/144224 | - |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Engenharia electrotécnica, electrónica e informática | |
| dc.subject | Electrical engineering, Electronic engineering, Information engineering | |
| dc.title | Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN) | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.doi | 10.34626/wy81-8780 | |
| dc.identifier.tid | 203170920 | |
| 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 e Ciência de Dados | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 584186.pdf | Prediction of Shell Finite-Element Stresses using Convolutional Neural Networks (CNN) | 7.53 MB | Adobe PDF | ![]() View/Open |
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