A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees

Research article (Mathematical Geosciences, 2020) · cited 45× · AI/ML
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A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees

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A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees is a scholarly article[1].

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  • A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-coarse-to-fine-approach-for-intelligent-logging-lithology-identification-with-extremely-randomized-trees
MLA “A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-coarse-to-fine-approach-for-intelligent-logging-lithology-identification-with-extremely-randomized-trees.
BibTeX @misc{4ortxyz_a-coarse-to-fine-approach-for-intelligent-logging-lithology-identification-with-extremely-randomized-trees_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees}}, year = {2026}, url = {https://4ort.xyz/entity/a-coarse-to-fine-approach-for-intelligent-logging-lithology-identification-with-extremely-randomized-trees}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Coarse-to-Fine Approach for Intelligent Logging Lithology Identification with Extremely Randomized Trees — https://4ort.xyz/entity/a-coarse-to-fine-approach-for-intelligent-logging-lithology-identification-with-extremely-randomized-trees (retrieved 2026-05-24)

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