Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input

DOI

The data contains the analysis results of the research work.

Identifier
DOI https://doi.org/10.14278/rodare.3218
Related Identifier IsIdenticalTo https://www.hzdr.de/publications/Publ-39738
Related Identifier IsReferencedBy https://www.hzdr.de/publications/Publ-39536
Related Identifier IsPartOf https://doi.org/10.14278/rodare.3217
Related Identifier IsPartOf https://rodare.hzdr.de/communities/fwd
Related Identifier IsPartOf https://rodare.hzdr.de/communities/hzdr
Related Identifier IsPartOf https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:3218
Provenance
Creator Souza, Lucas; Santos, Andre; Azpurua, Hector; Resende Filho, Levi; Domingues, Jaco; Matos, Saulo; Nyarko, Samuel; Melo Euzebio, Thiago Antonio ORCID logo; Pessin, Gustavo
Publisher Rodare
Publication Year 2024
Rights Creative Commons Attribution 4.0 International; Open Access; https://creativecommons.org/licenses/by/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://rodare.hzdr.de/support
Representation
Resource Type Dataset
Discipline Life Sciences; Natural Sciences; Engineering Sciences