DC Field | Value |
dc.contributor.author | Pinto, Samuel Andrade |
dc.contributor.author | Gomes, Otávio da Fonseca Martins |
dc.date.accessioned | 2024-09-17T14:17:05Z |
dc.date.available | 2024-09-17T14:17:05Z |
dc.date.issued | 2024 |
dc.identifier.isbn | 978-65-5919-011-9 |
dc.identifier.issn | 0104-6373 |
dc.identifier.uri | http://mineralis.cetem.gov.br/handle/cetem/2849 |
dc.language.iso | other |
dc.publisher | CETEM/MCTI |
dc.subject | Minério de ferro |
dc.subject | Inteligência artificial |
dc.subject | Iron ore |
dc.subject | Characterization |
dc.subject | Image analysis |
dc.subject | Artificial intelligence |
dc.subject | Microscopy |
dc.title | Inteligência artificial aplicada à caracterização de minério de ferro |
dc.title.alternative | Artificial intelligence applied to iron ore characterization |
dc.type | Article |
Appears in Collections: | Jornada de Iniciação Científica
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