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2019 | 2 |
2020 | 2 |
2024 | 0 |
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Page 1
Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete.
Materials (Basel). 2019 Mar 25;12(6):983. doi: 10.3390/ma12060983.
Materials (Basel). 2019.
PMID: 30934566
Free PMC article.
Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete.
Dao DV, Ly HB, Vu HT, Le TT, Pham BT.
Dao DV, et al.
Materials (Basel). 2020 Feb 28;13(5):1072. doi: 10.3390/ma13051072.
Materials (Basel). 2020.
PMID: 32121104
Free PMC article.
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Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis.
Pham BT, Nguyen MD, Dao DV, Prakash I, Ly HB, Le TT, Ho LS, Nguyen KT, Ngo TQ, Hoang V, Son LH, Ngo HTT, Tran HT, Do NM, Van Le H, Ho HL, Tien Bui D.
Pham BT, et al. Among authors: dao dv.
Sci Total Environ. 2019 Aug 20;679:172-184. doi: 10.1016/j.scitotenv.2019.05.061. Epub 2019 May 7.
Sci Total Environ. 2019.
PMID: 31082591
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Cost-Effective Approaches Based on Machine Learning to Predict Dynamic Modulus of Warm Mix Asphalt with High Reclaimed Asphalt Pavement.
Dao DV, Nguyen NL, Ly HB, Pham BT, Le TT.
Dao DV, et al.
Materials (Basel). 2020 Jul 23;13(15):3272. doi: 10.3390/ma13153272.
Materials (Basel). 2020.
PMID: 32717910
Free PMC article.
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