Quantifying three-dimensional sphericity indices of irregular fine particles from 2D images through sequential sieving tests

Research article (Granular Matter, 2023) · cited 28× · AI/ML
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Quantifying three-dimensional sphericity indices of irregular fine particles from 2D images through sequential sieving tests

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Quantifying three-dimensional sphericity indices of irregular fine particles from 2D images through sequential sieving tests is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Quantifying three-dimensional sphericity indices of irregular fine particles from 2D images through sequential sieving tests. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantifying-three-dimensional-sphericity-indices-of-irregular-fine-particles-from-2d-images-through-sequential-sieving-t
MLA “Quantifying three-dimensional sphericity indices of irregular fine particles from 2D images through sequential sieving tests.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantifying-three-dimensional-sphericity-indices-of-irregular-fine-particles-from-2d-images-through-sequential-sieving-t.
BibTeX @misc{4ortxyz_quantifying-three-dimensional-sphericity-indices-of-irregular-fine-particles-from-2d-images-through-sequential-sieving-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantifying three-dimensional sphericity indices of irregular fine particles from 2D images through sequential sieving tests}}, year = {2026}, url = {https://4ort.xyz/entity/quantifying-three-dimensional-sphericity-indices-of-irregular-fine-particles-from-2d-images-through-sequential-sieving-t}, note = {Accessed: 2026-05-24}}
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