| Mixture semisupervised probabilistic principal component regression model with missing inputs S Sedghi, A Sadeghian, B Huang Computers & Chemical Engineering 103, 176-187, 2017 | 49 | 2017 |
| Real-time assessment and diagnosis of process operating performance S Sedghi, B Huang Engineering 3 (2), 214-219, 2017 | 28 | 2017 |
| Computer vision system for froth-middlings interface level detection in the primary separation vessels A Vicente, R Raveendran, B Huang, S Sedghi, A Narang, H Jiang, ... Computers & Chemical Engineering 123, 357-370, 2019 | 20 | 2019 |
| Data analytics approach for online produced fluid flow rate estimation in SAGD process S Sedghi, R Tan, B Huang Computers & Chemical Engineering 136, 106766, 2020 | 11 | 2020 |
| Probabilistic PCR based near-infrared modeling with temperature compensation X Luan, B Huang, S Sedghi, F Liu ISA transactions 81, 46-51, 2018 | 9 | 2018 |
| An integrated first principle modeling to steam assisted gravity drainage (SAGD) M Rashedi, O Xu, S Kwak, S Sedghi, J Liu, B Huang Journal of Petroleum Science and Engineering 163, 501-510, 2018 | 7 | 2018 |
| Simultaneous estimation of sub-model number and parameters for mixture probability principal component regression S Sedghi, B Huang 2017 11th Asian Control Conference (ASCC), 1069-1074, 2017 | 2 | 2017 |
| Mixtures of Probabilistic Principal Component Regression: Application in Optimality Assessment S Sedghi | | 2017 |
| 过程操作性能的在线评估与诊断 S Sedghi, B Huang Engineering, 2017 | | 2017 |
