Compressive Strength Evaluation of Ultra-High-Strength Concrete by Machine Learning
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Title
Compressive Strength Evaluation of Ultra-High-Strength Concrete by Machine Learning
Authors
Keywords
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Journal
Materials
Volume 15, Issue 10, Pages 3523
Publisher
MDPI AG
Online
2022-05-14
DOI
10.3390/ma15103523
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- (2021) Chaopeng Xie et al. COMPOSITES PART B-ENGINEERING
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- Explainable artificial intelligence model to predict acute critical illness from electronic health records
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- A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm
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- Effect of graphite nanoplatelets and carbon nanofibers on rheology, hydration, shrinkage, mechanical properties, and microstructure of UHPC
- (2018) Weina Meng et al. CEMENT AND CONCRETE RESEARCH
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- (2013) Mauro Castelli et al. EXPERT SYSTEMS WITH APPLICATIONS
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