Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
https://orcid.org/0000-0003-1271-2112
Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
https://orcid.org/0000-0003-1271-2112
Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
https://orcid.org/0000-0003-1271-2112
Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
Construction and Building Materials
Abdellatief, Mohamed (Autor:in) / Hassan, Youssef M. (Autor:in) / Elnabwy, Mohamed T. (Autor:in) / Wong, Leong Sing (Autor:in) / Chin, Ren Jie (Autor:in) / Mo, Kim Hung (Autor:in)
01.07.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Machine learning based models for predicting compressive strength of geopolymer concrete
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Predicting compressive strength of geopolymer concrete using NDT techniques
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