| 1 |
Privacy-preserving distributed parameter estimation for probability distribution of wind power forecast error
Jia MS, Huang SW, Wang ZW, Shen C
Renewable Energy, 163, 1318, 2021 |
| 2 |
Optimization of the collimator mask for the rotational modulation collimator-based gamma-ray/neutron dual-particle imager
Kim HS, Ye SJ, Lee G, Kim G
Current Applied Physics, 19(7), 856, 2019 |
| 3 |
A review of the Expectation Maximization algorithm in data-driven process identification
Sammaknejad N, Zhao YJ, Huang B
Journal of Process Control, 73, 123, 2019 |
| 4 |
Gaussian-input Gaussian mixture model for representing density maps and atomic models
Kawabata T
Journal of Structural Biology, 203(1), 1, 2018 |
| 5 |
Operating Condition Diagnosis Based on HMM with Adaptive Transition Probabilities in Presence of Missing Observations
Sammaknejad N, Huang B, Xiong WL, Fatehi A, Xu FW, Espejo A
AIChE Journal, 61(2), 477, 2015 |
| 6 |
Nonlinear process identification in the presence of multiple correlated hidden scheduling variables with missing data
Chen L, Khatibisepehr S, Huang B, Liu F, Ding YS
AIChE Journal, 61(10), 3270, 2015 |
| 7 |
SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction
Dvornek NC, Sigworth FJ, Tagare HD
Journal of Structural Biology, 190(2), 200, 2015 |
| 8 |
Identification of Hammerstein-Wiener models
Wills A, Schon TB, Ljung L, Ninness B
Automatica, 49(1), 70, 2013 |
| 9 |
Development and industrial application of soft sensors with on-line Bayesian model updating strategy
Deng J, Xie L, Chen L, Khatibisepehr S, Huang B, Xu FW, Espejo A
Journal of Process Control, 23(3), 317, 2013 |
| 10 |
Multiple model approach to nonlinear system identification with an uncertain scheduling variable using EM algorithm
Chen L, Tulsyan A, Huang B, Liu F
Journal of Process Control, 23(10), 1480, 2013 |
