HIGHLIGHTS
- who: Muhammad Nasir Amin and colleagues from the Department of Civil and Environmental Engineering, College of Engineering, King Faisal University have published the article: Use of Artificial Intelligence for Predicting Parameters of Sustainable Concrete and Raw Ingredient Effects and Interactions, in the Journal: Materials 2022, 4 15, x FOR PEER REVIEW of 18/07/2022
- what: In this method, feature contribution is explored by computing the estimation errors during a specified feature value disturbance. In this study, the compressive property of RCAC was evaluated using four advanced ensemble machine_learning techniques, i.e., SVM-AdaBoost, SVM . . .
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