追蹤
Nabil Magbool Jan
Nabil Magbool Jan
Assistant Professor, Indian Institute of Technology Tirupati
在 iittp.ac.in 的電子郵件地址已通過驗證
標題
引用次數
引用次數
年份
Supervised variational autoencoders for soft sensor modeling with missing data
R Xie, NM Jan, K Hao, L Chen, B Huang
IEEE Transactions on Industrial Informatics 16 (4), 2820-2828, 2019
1012019
Constrained ensemble Kalman filter based on Kullback–Leibler divergence
R Li, NM Jan, B Huang, V Prasad
Journal of Process Control 81, 150-161, 2019
182019
Constrained multimodal ensemble Kalman filter based on Kullback–Leibler (KL) divergence
R Li, NM Jan, B Huang, V Prasad
Journal of process control 79, 16-28, 2019
182019
Multimodal process monitoring based on variational Bayesian PCA and Kullback-Leibler divergence between mixture models
Y Cao, NM Jan, B Huang, M Fang, Y Wang, W Gui
Chemometrics and Intelligent Laboratory Systems 210, 104230, 2021
172021
Expectation maximization approach for simultaneous gross error detection and data reconciliation using Gaussian mixture distribution
H Alighardashi, NM Jan, B Huang
Industrial & Engineering Chemistry Research 56 (49), 14530-14544, 2017
162017
Sensor network design for optimal process operation based on data reconciliation
M Nabil, S Narasimhan
Industrial & engineering chemistry research 51 (19), 6789-6797, 2012
162012
Robust probabilistic principal component regression with switching mixture Gaussian noise for soft sensing
A Sadeghian, NM Jan, O Wu, B Huang
Chemometrics and Intelligent Laboratory Systems 222, 104491, 2022
112022
Economic back-off selection based on optimal multivariable controller
M Nabil, S Narasimhan, S Skogestad
IFAC Proceedings Volumes 45 (15), 792-797, 2012
112012
Profitable and dynamically feasible operating point selection for constrained processes
M Nabil, S Narasimhan, S Skogestad
Journal of Process Control 24 (5), 531-541, 2014
102014
Economical and plant friendly input design for system identification
A Kumar, M Nabil, S Narasimhan
2014 European Control Conference (ECC), 732-737, 2014
92014
No-delay multimodal process monitoring using Kullback-Leibler divergence-based statistics in probabilistic mixture models
Y Cao, NM Jan, B Huang, Y Wang, Z Pan, W Gui
IEEE Transactions on Automation Science and Engineering 20 (1), 167-178, 2022
82022
Chance-constrained model predictive control for SAGD process using robust optimization approximation
W Shen, Z Li, B Huang, NM Jan
Industrial & Engineering Chemistry Research 58 (26), 11407-11418, 2018
72018
Robust soft sensor development using multi-rate measurements
O Wu, H Kodamana, NM Jan, R Tan, B Huang
IFAC-PapersOnLine 50 (1), 10190-10195, 2017
72017
Branch and bound algorithm for optimal sensor network design
G Menon, M Nabil, S Narasimhan
IFAC Proceedings Volumes 46 (32), 690-695, 2013
72013
Probabilistic just-in-time approach for nonlinear modeling with Bayesian nonlinear feature extraction
F Shen, NM Jan, B Huang, H Yang
Chemometrics and Intelligent Laboratory Systems 196, 103895, 2020
62020
Constrained extended Kalman filter based on Kullback-Leibler (KL) divergence
R Li, NM Jan, V Prasad, B Huang
2018 European Control Conference (ECC), 831-836, 2018
62018
Economical input design for identification of multivariate systems
A Kumar, M Nabil, S Narasimhan
IFAC-PapersOnLine 48 (28), 1313-1318, 2015
62015
Data rectification for multiple operating modes: A MAP framework
H Alighardashi, NM Jan, B Huang
Computers & Chemical Engineering 123, 272-285, 2019
52019
Data analytics for oil sands subcool prediction—a comparative study of machine learning algorithms
C Li, NM Jan, B Huang
IFAC-PapersOnLine 51 (18), 886-891, 2018
52018
Optimal selection of sensor network and backed-off operating point based on economics
NM Jan, S Skogestad, S Narasimhan
2013 European Control Conference (ECC), 4472-4477, 2013
52013
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