2024
DOI: 10.1016/j.compgeo.2024.106177
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Swin transformer based transfer learning model for predicting porous media permeability from 2D images

Shaoyang Geng,
Shuo Zhai,
Chengyong Li
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Cited by 8 publications
(1 citation statement)
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“…According to Haworth et al (2022), reinforcement of scientific ideas driven by the selection of learning approaches that are considered effective. But the application of only one experiment does not guarantee optimal results because it needs to be familiarized repeatedly (Geng et al, 2024;Kononov et al, 2023).…”
Section: Cycle-imentioning
confidence: 99%
“…According to Haworth et al (2022), reinforcement of scientific ideas driven by the selection of learning approaches that are considered effective. But the application of only one experiment does not guarantee optimal results because it needs to be familiarized repeatedly (Geng et al, 2024;Kononov et al, 2023).…”
Section: Cycle-imentioning
confidence: 99%