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

Souza, Lucas; Santos, Andre; Azpurua, Hector; Resende Filho, Levi; Domingues, Jaco; Matos, Saulo; Nyarko, Samuel; Melo Euzebio, Thiago Antonio; Pessin, Gustavo

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@misc{souza_lucas_2024_3218,
  author       = {Souza, Lucas and
                  Santos, Andre and
                  Azpurua, Hector and
                  Resende Filho, Levi and
                  Domingues, Jaco and
                  Matos, Saulo and
                  Nyarko, Samuel and
                  Melo Euzebio, Thiago Antonio and
                  Pessin, Gustavo},
  title        = {{Data publication: Exploiting Deep Learning Models 
                   for Iron Ore Particle Size Estimation in the
                   Primary Crusher Input}},
  month        = oct,
  year         = 2024,
  doi          = {10.14278/rodare.3218},
  url          = {https://doi.org/10.14278/rodare.3218}
}
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Publication date:
October 22, 2024
DOI:
10.14278/rodare.3218

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10.14278/rodare.3218

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Keyword(s):
Object Detection Instance Segmentation Deep Learning Particle Size Measurement Crushing Circuit
Related identifiers:
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https://www.hzdr.de/publications/Publ-39738
Referenced by:
https://www.hzdr.de/publications/Publ-39536
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Creative Commons Attribution 4.0 International

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Version 1 10.14278/rodare.3218 Oct 22, 2024
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Souza, Lucas, Santos, Andre, Azpurua, Hector, Resende Filho, Levi, Domingues, Jaco, Matos, Saulo, … Pessin, Gustavo. (2024). Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input [Data set]. Rodare. http://doi.org/10.14278/rodare.3218
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