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Machine learning-based prediction of flexural strength in graphene-enhanced RC beams using ANN, GPR, REP tree, and AR_M5P models

Crossref DOI link: https://doi.org/10.1007/s42107-025-01355-2

Published Online: 2025-05-15

Published Print: 2025-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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