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

BibTeX Export

@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}
}
18
1
views
downloads
All versions This version
Views 1818
Downloads 11
Data volume 907.5 kB907.5 kB
Unique views 1111
Unique downloads 11
More info on how stats are collected.
Publication date:
October 22, 2024
DOI:
10.14278/rodare.3218

RODARE DOI Badge

DOI 

10.14278/rodare.3218

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.3218.svg)](https://doi.org/10.14278/rodare.3218)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.3218.svg
   :target: https://doi.org/10.14278/rodare.3218

HTML 

<a href="https://doi.org/10.14278/rodare.3218"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.3218.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.3218.svg

Target URL 

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

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

Versions

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.

Share

Cite as

Export