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Showing results 1 to 6 of 6

1
Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model

Chen, Tiantian; Sze, N. N.; Chen, Sikai; Labi, Samuel; Zeng, Qiang, ACCIDENT ANALYSIS AND PREVENTION, v.154, 2021-05

2
Analysis of crash frequency using a Bayesian underreporting count model with spatial correlation

Zeng, Qiang; Wen, Huiying; Huang, Helai; Wang, Jie; Lee, Jinwoo, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v.545, 2020-05

3
Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors

Zeng, Qiang; Gu, Weihua; Zhang, Xuan; Wen, Huiying; Lee, Jinwoo; Hao, Wei, ACCIDENT ANALYSIS AND PREVENTION, v.127, pp.87 - 95, 2019-06

4
Incorporating real-time weather conditions into analyzing clearance time of freeway accidents: A grouped random parameters hazard-based duration model with time-varying covariates

Zeng, Qiang; Wang, Fangzhou; Chen, Tiantian; Sze, N. N., ANALYTIC METHODS IN ACCIDENT RESEARCH, v.38, 2023-06

5
Machine learning-assisted optimization of TBBPA-bis-(2,3-dibromopropyl ether) extraction process from ABS polymer

Wan, Yan; Zeng, Qiang; Shi, Pujiang; Yoon, Yong-Jin; Tay, Chor Yong; Lee, Jong-Min, CHEMOSPHERE, v.287, 2022-01

6
Ultrasonic-assisted tetrabromobisphenol A-bis-(2,3-dibromo-2-methylpropyl ether) extraction process from ABS polymer supported by machine learning

Wan, Yan; Zeng, Qiang; Kim, Insup; Shi, Pujiang; Yoon, Yong-Jin; Tay, Chor Yong; Lee, Jong-Min, ENVIRONMENTAL TECHNOLOGY & INNOVATION, v.27, 2022-08

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