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Image Processing and Machine Learning Approaches for Petrographic Thin Section Analysis (Russian)

Research article (SPE Russian Petroleum Technology Conference, 2017) · cited 30× · AI/ML
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Image Processing and Machine Learning Approaches for Petrographic Thin Section Analysis (Russian)

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Image Processing and Machine Learning Approaches for Petrographic Thin Section Analysis (Russian) is a scholarly article[1].

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  • Image Processing and Machine Learning Approaches for Petrographic Thin Section Analysis (Russian)'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Image Processing and Machine Learning Approaches for Petrographic Thin Section Analysis (Russian). Retrieved May 24, 2026, from https://4ort.xyz/entity/image-processing-and-machine-learning-approaches-for-petrographic-thin-section-analysis-russian
MLA “Image Processing and Machine Learning Approaches for Petrographic Thin Section Analysis (Russian).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image-processing-and-machine-learning-approaches-for-petrographic-thin-section-analysis-russian.
BibTeX @misc{4ortxyz_image-processing-and-machine-learning-approaches-for-petrographic-thin-section-analysis-russian_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image Processing and Machine Learning Approaches for Petrographic Thin Section Analysis (Russian)}}, year = {2026}, url = {https://4ort.xyz/entity/image-processing-and-machine-learning-approaches-for-petrographic-thin-section-analysis-russian}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image Processing and Machine Learning Approaches for Petrographic Thin Section Analysis (Russian) — https://4ort.xyz/entity/image-processing-and-machine-learning-approaches-for-petrographic-thin-section-analysis-russian (retrieved 2026-05-24)

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