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- W3121847163 abstract "Summary We present an application of a deep convolutional autoencoder for unsupervised seismic facies classification. This approach is entirely data-driven, requires no labelled data, and provides the results almost instantaneously, thus opening possibilities to analyse geological patterns in real-time without human intervention." @default.
- W3121847163 created "2021-02-01" @default.
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- W3121847163 date "2020-01-01" @default.
- W3121847163 modified "2023-10-18" @default.
- W3121847163 title "Deep convolutional autoencoder for unsupervised seismic facies classification" @default.
- W3121847163 doi "https://doi.org/10.3997/2214-4609.202075024" @default.
- W3121847163 hasPublicationYear "2020" @default.
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