Prediction of Compressive Strength of Sustainable Foam Concrete Using Individual and Ensemble Machine Learning Approaches
The entraining and distribution of air voids in the concrete matrix is a complex process that makes the mechanical properties of lightweight foamed concrete (LFC) highly unpredictable. To study the complex nature of aerated concrete, a reliable and robust prediction model is required, employing diff...
Main Authors: | Haji Sami Ullah, Rao Arsalan Khushnood, Furqan Farooq, Junaid Ahmad, Nikolai Ivanovich Vatin, Dina Yehia Zakaria Ewais |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
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Series: | Materials |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1944/15/9/3166 |
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