Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/155296Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Maria Lurdes Simões | |
| dc.creator | Cecília Vale | |
| dc.date.accessioned | 2023-11-29T00:11:08Z | - |
| dc.date.available | 2023-11-29T00:11:08Z | - |
| dc.date.issued | 2023 | |
| dc.identifier.other | sigarra:650315 | |
| dc.identifier.uri | https://hdl.handle.net/10216/155296 | - |
| dc.language.iso | por | |
| dc.relation.ispartof | First International Conference on Vehicle Body Engineering (VBE2023) | |
| dc.rights | restrictedAccess | |
| dc.title | Prediction of track geometrical condition by machine learning techniques | |
| dc.type | Resumo de Comunicação em Conferência Internacional | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| Appears in Collections: | FEUP - Resumo de Comunicação em Conferência Internacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 650315.pdf Restricted Access | Resumo VBE2023 | 753.35 kB | Adobe PDF | View/Open |
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