| 1 |
Probabilistic model by Bayesian network for the prediction of antibody glycosylation in perfusion and fed-batch cell cultures
Zhang L, Wang ML, Castan A, Hjalmarsson H, Chotteau V
Biotechnology and Bioengineering, 118(9), 3447, 2021 |
| 2 |
A multi-blockNMFmodel fornon-Gaussianprocess monitoring based on the adaptive partition non-negative matrix factorization andBayesian inference
Wang Y, Li S, Ling D, Yuan SM, Gu XG
Canadian Journal of Chemical Engineering, 99(2), 543, 2021 |
| 3 |
Multiphase Particle in Cell Simulations of Fluidized Beds: Studies on Bubble Rise Velocity and Minimum Fluidization Velocity
Pal K, Theuerkauf J
Chemie Ingenieur Technik, 93(1-2), 237, 2021 |
| 4 |
Improved Calibration of Numerical Integration Error in Sigma-Point Filters
Pruher J, Karvonen T, Oates CJ, Straka O, Sarkka S
IEEE Transactions on Automatic Control, 66(3), 1286, 2021 |
| 5 |
Efficient Learning for Selecting Important Nodes in Random Network
Li HD, Xu XY, Peng YJ, Chen CH
IEEE Transactions on Automatic Control, 66(3), 1321, 2021 |
| 6 |
Temporal Parallelization of Bayesian Smoothers
Sarkka S, Garcia-Fernandez AF
IEEE Transactions on Automatic Control, 66(1), 299, 2021 |
| 7 |
Bayesian optimization of industrial-scale toluene diisocyanate liquid-phase jet reactor with 3-D computational fluid dynamics model
Park SH, Atwair M, Kim K, Lee U, Na JG, Zahid UM, Lee CJ
Journal of Industrial and Engineering Chemistry, 98, 327, 2021 |
| 8 |
Bayesian network for dynamic variable structure learning and transfer modeling of probabilistic soft sensor
Zeng L, Ge ZQ
Journal of Process Control, 100, 20, 2021 |
| 9 |
Decentralized dynamic process monitoring based on manifold regularized slow feature analysis
Xu X, Ding JL
Journal of Process Control, 98, 79, 2021 |
| 10 |
Data-knowledge-driven diagnosis method for sludge bulking of wastewater treatment process
Han HG, Dong LX, Qiao JF
Journal of Process Control, 98, 106, 2021 |
