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Journal: Materials, 2022
Volume: 15
Number: 5336

Article: Predicting the Compressive Strength of Concrete Containing Binary Supplementary Cementitious Material Using Machine Learning Approach
Authors: by Nozar Moradi, Mohammad Hadi Tavana, Mohammad Reza Habibi, Moslem Amiri, Mohammad Javad Moradi and Visar Farhangi
Link: https://www.mdpi.com/1996-1944/15/15/5336

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