Predicting the compressive and flexural strength of ultra-high-performance concrete using interpretable machine learning models

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dc.contributor.authorKulsuma Begum Samia
dc.contributor.authorAbul Kashem
dc.date.accessioned2025-11-19T14:59:08Z
dc.date.available2025-11-19T14:59:08Z
dc.date.issued2025-08-10
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/45998
dc.publisherIASMiRT
dc.relation.ispartofseriesD11 - New Technologies (Additive manufacturing, AI, digital twin)
dc.relation.ispartofseriesD11-TS49 - Machine Learning and Artificial Intelligence
dc.relation.ispartofseries00 - SMiRT 25 - Toronto, Canada. August 10-15, 2025
dc.titlePredicting the compressive and flexural strength of ultra-high-performance concrete using interpretable machine learning models
dc.typeConference Proceeding

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