Predicting the Compressive Strength and the Effective Porosity of Pervious Concrete Using Machine Learning Methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-022-1918-z.pdf
Reference67 articles.
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