A Tri-Training method for lithofacies identification under scarce labeled logging data

Research article (Earth Science Informatics, 2023) · cited 11× · AI/ML
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A Tri-Training method for lithofacies identification under scarce labeled logging data

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A Tri-Training method for lithofacies identification under scarce labeled logging data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Tri-Training method for lithofacies identification under scarce labeled logging data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-tri-training-method-for-lithofacies-identification-under-scarce-labeled-logging-data
MLA “A Tri-Training method for lithofacies identification under scarce labeled logging data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-tri-training-method-for-lithofacies-identification-under-scarce-labeled-logging-data.
BibTeX @misc{4ortxyz_a-tri-training-method-for-lithofacies-identification-under-scarce-labeled-logging-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Tri-Training method for lithofacies identification under scarce labeled logging data}}, year = {2026}, url = {https://4ort.xyz/entity/a-tri-training-method-for-lithofacies-identification-under-scarce-labeled-logging-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Tri-Training method for lithofacies identification under scarce labeled logging data — https://4ort.xyz/entity/a-tri-training-method-for-lithofacies-identification-under-scarce-labeled-logging-data (retrieved 2026-05-24)

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