| 1 |
Semi-supervised dynamic latent variable modeling: I/O probabilistic slow feature analysis approach
Fan L, Kodamana H, Huang BA
AIChE Journal, 65(3), 964, 2019 |
| 2 |
A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data
Fang MQ, Kodamana H, Huang BA, Sammaknejad N
Computers & Chemical Engineering, 111, 149, 2018 |
| 3 |
Scalable synthesis of two-dimensional porous sheets of Ni-glycine coordination complexes: A novel high-performance energy storage material
Li J, Pu T, Huang BA, Hou XH, Zhao CL, Xie L, Chen LY
Journal of Colloid and Interface Science, 531, 360, 2018 |
| 4 |
Bayesian state estimation on finite horizons: The case of linear state-space model
Zhao SY, Huang BA, Shmaliy YS
Automatica, 85, 91, 2017 |
| 5 |
Molecular-Based Bayesian Regression Model of Petroleum Fractions
Mei H, Wang ZL, Huang BA
Industrial & Engineering Chemistry Research, 56(50), 14865, 2017 |
| 6 |
Numerical investigation of thermo-sensitive cavitating flows in a wide range of free-stream temperatures and velocities in fluoroketone
Chen TR, Huang BA, Wang GY, Zhang HZ, Wang YK
International Journal of Heat and Mass Transfer, 112, 125, 2017 |
| 7 |
Kalman filtering approach to multi-rate information fusion in the presence of irregular sampling rate and variable measurement delay
Fatehi A, Huang BA
Journal of Process Control, 53, 15, 2017 |
| 8 |
Multi-model multivariate Gaussian process modelling with correlated noises
Hong XD, Huang BA, Ding YS, Guo F, Chen L, Ren LH
Journal of Process Control, 58, 11, 2017 |
| 9 |
Communication delays and data losses in distributed adaptive high-gain EKF
Rashedi M, Liu JF, Huang BA
AIChE Journal, 62(12), 4321, 2016 |
| 10 |
Robust Gaussian process modeling using EM algorithm
Ranjan R, Huang BA, Fatehi A
Journal of Process Control, 42, 125, 2016 |
