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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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      <creatorName>Matos, Saulo</creatorName>
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      <affiliation>ITV</affiliation>
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    <creator>
      <creatorName>Nyarko, Samuel</creatorName>
      <givenName>Samuel</givenName>
      <familyName>Nyarko</familyName>
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      <creatorName>Melo Euzebio, Thiago Antonio</creatorName>
      <givenName>Thiago Antonio</givenName>
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    <creator>
      <creatorName>Pessin, Gustavo</creatorName>
      <givenName>Gustavo</givenName>
      <familyName>Pessin</familyName>
      <affiliation>ITV</affiliation>
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  <titles>
    <title>Data publication: Exploiting Deep Learning Models for Iron Ore Particle Size Estimation in the Primary Crusher Input</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2024</publicationYear>
  <subjects>
    <subject>Object Detection</subject>
    <subject>Instance Segmentation</subject>
    <subject>Deep Learning</subject>
    <subject>Particle Size Measurement</subject>
    <subject>Crushing Circuit</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2024-10-22</date>
  </dates>
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  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The data contains the analysis results of the research work.&lt;/p&gt;</description>
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