Predicting the compressive strength of engineered geopolymer composites using automated machine learning

Gad, Mahmoud Anwar and Nikbakht, Ehsan and Ragab, Mohammed Gamal (2024) Predicting the compressive strength of engineered geopolymer composites using automated machine learning. Construction and Building Materials, 442. ISSN 09500618

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Item Type: Article
Impact Factor: Cited by: 12
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 16 Aug 2025 17:46
Last Modified: 16 Aug 2025 17:46
URI: http://scholars.utp.edu.my/id/eprint/38210

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