Hai-Bang Ly - Search Results

Year	Number of Results
2019	7
2020	7
2021	4
2022	1

1

Groundwater Potential Mapping Using GIS-Based Hybrid Artificial Intelligence Methods.

Phong TV, Pham BT, Trinh PT, Ly HB, Vu QH, Ho LS, Le HV, Phong LH, Avand M, Prakash I. Phong TV, et al. Among authors: ly hb. Ground Water. 2021 Sep;59(5):745-760. doi: 10.1111/gwat.13094. Epub 2021 Mar 31. Ground Water. 2021. PMID: 33745148

2

Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS.

Tran VQ, Mai HT, Nguyen TA, Ly HB. Tran VQ, et al. Among authors: ly hb. PLoS One. 2021 Dec 3;16(12):e0260847. doi: 10.1371/journal.pone.0260847. eCollection 2021. PLoS One. 2021. PMID: 34860842 Free PMC article.

3

Investigation of ANN architecture for predicting shear strength of fiber reinforcement bars concrete beams.

Nguyen QH, Ly HB, Nguyen TA, Phan VH, Nguyen LK, Tran VQ. Nguyen QH, et al. Among authors: ly hb. PLoS One. 2021 Apr 2;16(4):e0247391. doi: 10.1371/journal.pone.0247391. eCollection 2021. PLoS One. 2021. PMID: 33798200 Free PMC article.

4

Development of Artificial Neural Network for prediction of radon dispersion released from Sinquyen Mine, Vietnam.

Duong VH, Ly HB, Trinh DH, Nguyen TS, Pham BT. Duong VH, et al. Among authors: ly hb. Environ Pollut. 2021 Aug 1;282:116973. doi: 10.1016/j.envpol.2021.116973. Epub 2021 Mar 23. Environ Pollut. 2021. PMID: 33845312

5

Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach.

Qi C, Ly HB, Chen Q, Le TT, Le VM, Pham BT. Qi C, et al. Among authors: ly hb. Chemosphere. 2020 Apr;244:125450. doi: 10.1016/j.chemosphere.2019.125450. Epub 2019 Nov 25. Chemosphere. 2020. PMID: 31816548

6

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. Among authors: ly hb. Materials (Basel). 2020 Feb 28;13(5):1072. doi: 10.3390/ma13051072. Materials (Basel). 2020. PMID: 32121104 Free PMC article.

7

Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity.

Pham TA, Tran VQ, Vu HT, Ly HB. Pham TA, et al. Among authors: ly hb. PLoS One. 2020 Dec 17;15(12):e0243030. doi: 10.1371/journal.pone.0243030. eCollection 2020. PLoS One. 2020. PMID: 33332377 Free PMC article.

8

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete.

Dao DV, Ly HB, Trinh SH, Le TT, Pham BT. Dao DV, et al. Among authors: ly hb. Materials (Basel). 2019 Mar 25;12(6):983. doi: 10.3390/ma12060983. Materials (Basel). 2019. PMID: 30934566 Free PMC article.

9

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. Among authors: ly hb. Materials (Basel). 2020 Jul 23;13(15):3272. doi: 10.3390/ma13153272. Materials (Basel). 2020. PMID: 32717910 Free PMC article.

10

Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression.

Le LM, Ly HB, Pham BT, Le VM, Pham TA, Nguyen DH, Tran XT, Le TT. Le LM, et al. Among authors: ly hb. Materials (Basel). 2019 May 22;12(10):1670. doi: 10.3390/ma12101670. Materials (Basel). 2019. PMID: 31121948 Free PMC article.

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