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Karimpouli, Sadegh, Tahmasebi, Pejman (2019) Segmentation of digital rock images using deep convolutional autoencoder networks. Computers & Geosciences, 126. 142-150 doi:10.1016/j.cageo.2019.02.003

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Reference TypeJournal (article/letter/editorial)
TitleSegmentation of digital rock images using deep convolutional autoencoder networks
JournalComputers & Geosciences
AuthorsKarimpouli, SadeghAuthor
Tahmasebi, PejmanAuthor
Year2019 (May)Volume126
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2019.02.003Search in ResearchGate
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Mindat Ref. ID455835Long-form Identifiermindat:1:5:455835:8
GUID0
Full ReferenceKarimpouli, Sadegh, Tahmasebi, Pejman (2019) Segmentation of digital rock images using deep convolutional autoencoder networks. Computers & Geosciences, 126. 142-150 doi:10.1016/j.cageo.2019.02.003
Plain TextKarimpouli, Sadegh, Tahmasebi, Pejman (2019) Segmentation of digital rock images using deep convolutional autoencoder networks. Computers & Geosciences, 126. 142-150 doi:10.1016/j.cageo.2019.02.003
In(2019) Computers & Geosciences Vol. 126. Elsevier BV

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Tahmasebi, Pejman, Hezarkhani, Ardeshir (2012) A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation. Computers & Geosciences, 42. 18-27 doi:10.1016/j.cageo.2012.02.004
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