Browse "GT-Journal Papers(저널논문)" by Subject Machine learning

Showing results 1 to 3 of 3

1
A deep generative approach for crash frequency model with heterogeneous imbalanced data

Ding, Hongliang; Lu, Yuhuan; Sze, N. N.; Chen, Tiantian; Guo, Yanyong; Lin, Qinghai, ANALYTIC METHODS IN ACCIDENT RESEARCH, v.34, 2022-06

2
Deep learning for determining a near-optimal topological design without any iteration

Yu, Yonggyun; Hur, Taeil; Jung, Jaeho; Jang, In Gwun, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.59, no.3, pp.787 - 799, 2019-03

3
To pay or not to pay? Understanding public acceptance of congestion pricing: A case study of Nanjing

Selmoune, Aya; Liu, Zhiyuan; Lee, Jinwoo, ELECTRONIC RESEARCH ARCHIVE, v.30, no.11, pp.4136 - 4156, 2022-01

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