Dataset Open Access

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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{
  "title": "Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input", 
  "author": [
    {
      "family": "Souza, Lucas"
    }, 
    {
      "family": "Santos, Andre"
    }, 
    {
      "family": "Azpurua, Hector"
    }, 
    {
      "family": "Resende Filho, Levi"
    }, 
    {
      "family": "Domingues, Jaco"
    }, 
    {
      "family": "Matos, Saulo"
    }, 
    {
      "family": "Nyarko, Samuel"
    }, 
    {
      "family": "Melo Euzebio, Thiago Antonio"
    }, 
    {
      "family": "Pessin, Gustavo"
    }
  ], 
  "type": "dataset", 
  "id": "3218", 
  "abstract": "<p>The data contains the analysis results of the research work.</p>", 
  "DOI": "10.14278/rodare.3218", 
  "issued": {
    "date-parts": [
      [
        2024, 
        10, 
        22
      ]
    ]
  }, 
  "publisher": "Rodare"
}
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Publication date:
October 22, 2024
DOI:
10.14278/rodare.3218

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DOI 

10.14278/rodare.3218

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   :target: https://doi.org/10.14278/rodare.3218

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

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Version 1 10.14278/rodare.3218 Oct 22, 2024
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.3217. This DOI represents all versions, and will always resolve to the latest one. Read more.

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