Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/134602
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.creator | Luís Sanhudo | |
dc.creator | João Poças Martins | |
dc.creator | Nuno Ramos | |
dc.date.accessioned | 2022-09-08T12:42:29Z | - |
dc.date.available | 2022-09-08T12:42:29Z | - |
dc.date.issued | 2021-06 | |
dc.identifier.other | sigarra:480160 | |
dc.identifier.uri | https://hdl.handle.net/10216/134602 | - |
dc.language.iso | por | |
dc.relation.ispartof | Book of abstracts of the Symposium on Civil Engineering and Spatial Planning | |
dc.rights | openAccess | |
dc.title | Artificial Intelligence for an Enhanced As-Is BIM Energy Analysis | |
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 | |
---|---|---|---|---|
480160.pdf | resumo | 1.78 MB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.