Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/176214
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dc.creatorMarcos António Sousa Costa
dc.date.accessioned2026-08-08T01:40:41Z-
dc.date.available2026-08-08T01:40:41Z-
dc.date.issued2026-07-16
dc.date.submitted2026-07-31
dc.identifier.othersigarra:787489
dc.identifier.urihttps://hdl.handle.net/10216/176214-
dc.language.isoeng
dc.rightsembargoedAccess
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleA Deep Learning Approach for Automatic Detection of Solar Coronal Loops in Extreme Ultraviolet Observations
dc.typeDissertação
dc.date.embargo2027-07-15
dc.contributor.uportoFaculdade de Engenharia
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 Informática e Computação
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
rcaap.embargofctIntenção de submissão para publicação científica dos resultados obtidos.
Appears in Collections:FEUP - Dissertação

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