Data and codes for a paper "Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning"

For an easy demo in Google Colab: !git clone -q https://github.com/Shiga-1993/CNN-USML-demo.git cd CNN-USML-demo cd Demo-Case2#DenseNet-161 for some images (Case 2) !bash DenseNet_loop.sh#t-SNE (perplexity=5) for feature vectors computed by DenseNet-161 for some images (Case 2) !bash tSNE_glob.sh

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-07
DOI
https://doi.org/10.5281/zenodo.14859377
Citations
1
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
0.71
Controls
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article

Data and codes for a paper "Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning"

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Mineral Processing and Grinding
0.71
article

Data and codes for a paper "Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning"

article en
1 citations

Abstract

For an easy demo in Google Colab: !git clone -q https://github.com/Shiga-1993/CNN-USML-demo.git cd CNN-USML-demo cd Demo-Case2#DenseNet-161 for some images (Case 2) !bash DenseNet_loop.sh#t-SNE (perplexity=5) for feature vectors computed by DenseNet-161 for some images (Case 2) !bash tSNE_glob.sh

Zenodo (CERN European Organization for Nuclear Research)
National Institute of Advanced Industrial Science and Technology (JP)
Openalex Percentile: Top 24%
Mineral Processing and Grinding
0.71
DOIOpen Access PDFOpenAlex
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Data and codes for a paper "Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning" · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS