Generative adversarial networks for data augmentation in structural adhesive inspection

UIDB/- 00066/2020 POCI-01-0247-FEDER-034072

Detalhes bibliográficos
Autor principal: Peres, Ricardo Silva (author)
Outros Autores: Azevedo, Miguel (author), Araújo, Sara Oleiro (author), Guedes, Magno (author), Miranda, Fábio (author), Barata, José (author)
Formato: article
Idioma:eng
Publicado em: 2022
Assuntos:
Data augmentation
Deep learning
Industry 4.0
Quality control
Structural adhesive
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
Texto completo:http://hdl.handle.net/10362/133127
País:Portugal
Oai:oai:run.unl.pt:10362/133127

Texto Completo

http://hdl.handle.net/10362/133127

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