Node embedding and machine learning towards road network feature prediction

Bibliographic Details
Main Author: Mário António Lage Dixo de Sousa
Publication Date: 2023
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/152805
id RCAP_1b199608ca3bf864a27f1e46e567eb78
oai_identifier_str oai:repositorio-aberto.up.pt:10216/152805
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Node embedding and machine learning towards road network feature predictionEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineering2023-07-172023-07-17T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/152805TID:203429460engMário António Lage Dixo de Sousainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T20:18:42Zoai:repositorio-aberto.up.pt:10216/152805Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:01:11.908729Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Node embedding and machine learning towards road network feature prediction
title Node embedding and machine learning towards road network feature prediction
spellingShingle Node embedding and machine learning towards road network feature prediction
Mário António Lage Dixo de Sousa
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Node embedding and machine learning towards road network feature prediction
title_full Node embedding and machine learning towards road network feature prediction
title_fullStr Node embedding and machine learning towards road network feature prediction
title_full_unstemmed Node embedding and machine learning towards road network feature prediction
title_sort Node embedding and machine learning towards road network feature prediction
author Mário António Lage Dixo de Sousa
author_facet Mário António Lage Dixo de Sousa
author_role author
dc.contributor.author.fl_str_mv Mário António Lage Dixo de Sousa
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
publishDate 2023
dc.date.none.fl_str_mv 2023-07-17
2023-07-17T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/152805
TID:203429460
url https://hdl.handle.net/10216/152805
identifier_str_mv TID:203429460
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833600371188039680