Detection of production defects using Machine Learning based Image Classification Algorithms
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Online Access: | https://hdl.handle.net/10216/129867 |
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ndltd-up.pt-oai-repositorio-aberto.up.pt-10216-1298672020-11-08T05:28:53Z Detection of production defects using Machine Learning based Image Classification Algorithms Pedro Miguel Pinto da Cunha Fernandes Faculdade de Engenharia Engenharia mecânica Mechanical engineering Ciências da engenharia e tecnologias::Engenharia mecânica Engineering and technology::Mechanical engineering 2020-11-07T00:14:13Z 2020-11-07T00:14:13Z 2020-10-07 2020-11-06 Dissertação sigarra:427508 https://hdl.handle.net/10216/129867 eng openAccess application/pdf |
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NDLTD |
language |
English |
format |
Others
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sources |
NDLTD |
topic |
Engenharia mecânica Mechanical engineering Ciências da engenharia e tecnologias::Engenharia mecânica Engineering and technology::Mechanical engineering |
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Engenharia mecânica Mechanical engineering Ciências da engenharia e tecnologias::Engenharia mecânica Engineering and technology::Mechanical engineering Pedro Miguel Pinto da Cunha Fernandes Detection of production defects using Machine Learning based Image Classification Algorithms |
author2 |
Faculdade de Engenharia |
author_facet |
Faculdade de Engenharia Pedro Miguel Pinto da Cunha Fernandes |
author |
Pedro Miguel Pinto da Cunha Fernandes |
author_sort |
Pedro Miguel Pinto da Cunha Fernandes |
title |
Detection of production defects using Machine Learning based Image Classification Algorithms |
title_short |
Detection of production defects using Machine Learning based Image Classification Algorithms |
title_full |
Detection of production defects using Machine Learning based Image Classification Algorithms |
title_fullStr |
Detection of production defects using Machine Learning based Image Classification Algorithms |
title_full_unstemmed |
Detection of production defects using Machine Learning based Image Classification Algorithms |
title_sort |
detection of production defects using machine learning based image classification algorithms |
publishDate |
2020 |
url |
https://hdl.handle.net/10216/129867 |
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AT pedromiguelpintodacunhafernandes detectionofproductiondefectsusingmachinelearningbasedimageclassificationalgorithms |
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1719356119163338752 |