Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/160820
Full metadata record
DC FieldValueLanguage
dc.creatorJoão Ribeiro Magalhães
dc.date.accessioned2025-11-12T07:07:02Z-
dc.date.available2025-11-12T07:07:02Z-
dc.date.issued2024-07-12
dc.date.submitted2024-07-22
dc.identifier.othersigarra:681568
dc.identifier.urihttps://hdl.handle.net/10216/160820-
dc.language.isoeng
dc.rightsembargoedAccess
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleImproving Maintenance Strategies Using Generative AI: Evaluating Fine-Tuning and Retrieval-Augmented Generation
dc.typeDissertação
dc.date.embargo2027-07-11
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.34626/b99z-5y37
dc.identifier.tid203858875
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
thesis.degree.disciplineMestrado em Engenharia Eletrotécnica e de Computadores
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
rcaap.embargofctConfidencialidade.
Appears in Collections:FEUP - Dissertação

Files in This Item:
File Description SizeFormat 
681568.pdf
  Restricted Access
Improving Maintenance Strategies Using Generative AI: Evaluating Fine-Tuning and Retrieval-Augmented Generation3.37 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.