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 |
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach Risuleo RS, Bottegal G, Hjalmarsson H IEEE Transactions on Automatic Control, 65(7), 2801, 2020 |
3 |
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 |
4 |
A Verification Theorem for Optimal Stopping Problems with Expectation Constraints Ankirchner S, Klein M, Kruse T Applied Mathematics and Optimization, 79(1), 145, 2019 |
5 |
Robust optimization of a pharmaceutical freeze-drying process under non-Gaussian parameter uncertainties Xie XZ, Schenkendorf R Chemical Engineering Science, 207, 805, 2019 |
6 |
Data rectification for multiple operating modes: A MAP framework Alighardashi H, Jan NM, Huang B Computers & Chemical Engineering, 123, 272, 2019 |
7 |
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 |
8 |
A Monte Carlo simulation-based decision support system for reliability analysis of Taiwan's power system: Framework and empirical study Yu HH, Chang KH, Hsu HW, Cuckler R Energy, 178, 252, 2019 |
9 |
Mass spectrometric evaluation of the soluble species of Shengli lignite using cluster analysis methods Yu YR, Fan X, Chen L, Dong XM, Zhao YP, Li B, Wei XY, Ma FY, Nulahong A Fuel, 236, 1037, 2019 |
10 |
Parameter Estimation in Switching Markov Systems and Unsupervised Smoothing Zheng F, Derrode S, Pieczynski W IEEE Transactions on Automatic Control, 64(4), 1761, 2019 |