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Diogo A P Nunes

Dados Biográficos

ID9024529
NOMEDiogo A P Nunes
PRENOMESDiogo A P
SOBRENOMENunes
ASSINATURANUNES D A P
AFILIAÇÕESInstituto Superior Técnico
ORCID0000-0002-6614-8556
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2024
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H0
  • Automatic ceramic identification using machine learning. Lusitanian amphorae and Faience. Two Portuguese case studies

    Open Access•Joel Santos, Diogo A P Nunes et al.•ARTICLE•STAR Science & Technology of…•2024

    This article presents a novel approach to classifying archaeological artefacts using machine learning, specifically deep learning, rather than relying on traditional, time-consuming human-based methods. By employing Convolutional Neural Networks (CNNs), this approach aims to expedite and enhance the identification process, making it more accessible to a wider audience. The study focuses on two types of artefacts- Roman Lusitanian amphorae (2nd-5t…

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  • Automatic ceramic identification using machine learning. Lusitanian amphorae and Faience. Two Portuguese case studies

    Open Access•Joel Santos, Diogo A P Nunes et al.•ARTICLE•STAR Science & Technology of…•2024

    This article presents a novel approach to classifying archaeological artefacts using machine learning, specifically deep learning, rather than relying on traditional, time-consuming human-based methods. By employing Convolutional Neural Networks (CNNs), this approach aims to expedite and enhance the identification process, making it more accessible to a wider audience. The study focuses on two types of artefacts- Roman Lusitanian amphorae (2nd-5t…

3D Surveying and Cultural Heritage (1 obras) · Archaeological Research and Protection (1 obras) · Archaeology (1 obras) · Artificial Intelligence (1 obras) · Computer Science (1 obras) · Convolutional neural network (1 obras) · Cultural Heritage Materials Analysis (1 obras) · Ecology (1 obras) · Geography (1 obras) · Portuguese (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae