Discrimination of pores and cracks in iron ore pellets using deep learning neural networks
Author:
Affiliation:
1. Pontifícia Universidade Católica do Rio de Janeiro, Brasil
Publisher
FapUNIFESP (SciELO)
Subject
General Earth and Planetary Sciences,General Energy
Link
http://www.scielo.br/pdf/remi/v73n2/2448-167X-remi-73-02-0197.pdf
Reference20 articles.
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3. When deep learning meets metric learning: remote sensing image scene classification via learning discriminative CNNs;CHENG G.;IEEE Transactions on Geoscience and Remote Sensing,2018
4. The influence of pellet feed size distribution in the agglomeration process;FONSECA M. C.;Proceedings[…],2005
5. Deep learning;GOODFELLOW I.,2016
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