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Multifunctional computational models to predict the long‐term compressive strength of concrete incorporated with waste steel slag.
- Published in:
- Structural Concrete, 2023, v. 24, n. 2, p. 2093, doi. 10.1002/suco.202200023
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- Article
Multiple Analytical Models to Evaluate the Impact of Carbon Nanotubes on the Electrical Resistivity and Compressive Strength of the Cement Paste.
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- Sustainability (2071-1050), 2021, v. 13, n. 22, p. 12544, doi. 10.3390/su132212544
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- Article
Retraction Note: Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag coarse aggregate replacement.
- Published in:
- 2024
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- Correction Notice
Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag coarse aggregate replacement.
- Published in:
- Neural Computing & Applications, 2023, v. 35, n. 18, p. 13293, doi. 10.1007/s00521-023-08439-7
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- Article
Electrical conductivity, microstructures, chemical compositions, and systematic multivariable models to evaluate the effect of waste slag smelting (pyrometallurgical) on the compressive strength of concrete.
- Published in:
- Environmental Science & Pollution Research, 2022, v. 29, n. 45, p. 68488, doi. 10.1007/s11356-022-20518-1
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- Article