| 1 |
Particle-Scavenging prediction in sieve plate scrubber via dimension reduction in computational fluid dynamics
Huang SH, Kang JL, Wong DSH, Jang SS, Lin CA
Chemical Engineering Research & Design, 160, 540, 2020 |
| 2 |
Quantification of modeling uncertainties in turbulent flames through successive dimension reduction
Wang NN, Xie Q, Su XY, Ren ZY
Combustion and Flame, 222, 476, 2020 |
| 3 |
Convolutional neural network with feature reconstruction for monitoring mismatched photovoltaic systems
Yu WJ, Liu GY, Zhu L, Yu WJ
Solar Energy, 212, 169, 2020 |
| 4 |
Active subspace-based dimension reduction for chemical kinetics applications with epistemic uncertainty
Vohra M, Alexanderian A, Guy H, Mahadevan S
Combustion and Flame, 204, 152, 2019 |
| 5 |
Industrial process monitoring based on Fisher discriminant global-local preserving projection
Tang Q, Chai Y, Qu JF, Fang XY
Journal of Process Control, 81, 76, 2019 |
| 6 |
Uncertainty Quantification for Flow and Transport in Highly Heterogeneous Porous Media Based on Simultaneous Stochastic Model Dimensionality Reduction
Crevillen-Garcia D, Leung PK, Rodchanarowan A, Shah AA
Transport in Porous Media, 126(1), 79, 2019 |
| 7 |
A model-based design optimization strategy for ground source heat pump systems with integrated photovoltaic thermal collectors
Xia L, Ma ZJ, Kokogiannakis G, Wang ZH, Wang SG
Applied Energy, 214, 178, 2018 |
| 8 |
Comparison of two different objective functions in 2D point feature SLAM
Wang H, Huang SD, Yang GH, Dissanayake G
Automatica, 97, 172, 2018 |
| 9 |
Shared low-dimensional subspaces for propagating kinetic uncertainty to multiple outputs
Ji WQ, Wang JX, Zahm O, Marzouk YM, Yang B, Ren ZY, Law CK
Combustion and Flame, 190, 146, 2018 |
| 10 |
Active directional modifier adaptation for real-time optimization
Singhal M, Marchetti AG, Faulwasser T, Bonvin D
Computers & Chemical Engineering, 115, 246, 2018 |
