Advanced stacked modeling techniques for material porosity estimation via high-resolution computed tomography imaging.
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| Title: | Advanced stacked modeling techniques for material porosity estimation via high-resolution computed tomography imaging. |
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| Authors: | Kim B; School of Space Engineering Sciences, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu, 41566, Korea., K R SP; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, India. sripreethaa.kr@vit.ac.in., Natarajan Y; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, India., Danushkumar; Data Science and Artificial Intelligence, Eindhoven University of Technology (TU/e) Eindhoven, Eindhoven, The Netherlands., Park S; School of Architecture & Building Science, Chung-Ang University, 84 Heukseok- ro, Dongjak-gu, Seoul, 06974, Republic of Korea., Pyo S; Department of Civil, Urban, Earth, and Environmental Engineering, National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. |
| Source: | Scientific reports [Sci Rep] 2026 Mar 04; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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