Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers
Summary
Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers is a scholarly article[1].
Key Facts
Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-pore-type-identification-from-thin-section-images-using-an-integrated-fuzzy-fusion-of-multiple-classifiers
MLA“Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-pore-type-identification-from-thin-section-images-using-an-integrated-fuzzy-fusion-of-multiple-classifiers.
BibTeX@misc{4ortxyz_improving-pore-type-identification-from-thin-section-images-using-an-integrated-fuzzy-fusion-of-multiple-classifiers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers}}, year = {2026}, url = {https://4ort.xyz/entity/improving-pore-type-identification-from-thin-section-images-using-an-integrated-fuzzy-fusion-of-multiple-classifiers}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers — https://4ort.xyz/entity/improving-pore-type-identification-from-thin-section-images-using-an-integrated-fuzzy-fusion-of-multiple-classifiers (retrieved 2026-05-24)
