| 1 |
Distributed predictive modeling framework for prediction and diagnosis of key performance index in plant-wide processes
Ge ZQ
Journal of Process Control, 65, 107, 2018 |
| 2 |
A novel dynamic PCA algorithm for dynamic data modeling and process monitoring
Dong YN, Qin SJ
Journal of Process Control, 67, 1, 2018 |
| 3 |
Semisupervised learning for probabilistic partial least squares regression model and soft sensor application
Zheng JH, Song ZH
Journal of Process Control, 64, 123, 2018 |
| 4 |
Preparation and characterization of calcium treated bentonite clay and its application for the removal of lead and cadmium ions: Adsorption and thermodynamic modeling
Meneguin JG, Moises MP, Karchiyappan T, Faria SHB, Gimenes ML, de Barros MASD, Venkatachalam S
Process Safety and Environmental Protection, 111, 244, 2017 |
| 5 |
Multivariate data modeling using modified kernel partial least squares
Gao YB, Kong XY, Hu CH, Zhang ZX, Li HZ, Hou LA
Chemical Engineering Research & Design, 94, 466, 2015 |
| 6 |
Robust supervised probabilistic principal component analysis model for soft sensing of key process variables
Zhu JL, Ge ZQ, Song ZH
Chemical Engineering Science, 122, 573, 2015 |
| 7 |
Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss)
Ultsch A, Thrun MC, Hansen-Goos O, Lotsch J
International Journal of Molecular Sciences, 16(10), 25897, 2015 |
| 8 |
Corrosion study on Al-rich metal-coated steel by odd random phase multisine electrochemical impedance spectroscopy
Alvarez-Pampliega A, Hauffman T, Petrova M, Breugelmans T, Muselle T, Van den Bergh K, De Stryckerc J, Terryn H, Hubin A
Electrochimica Acta, 124, 165, 2014 |
| 9 |
Energy, environmental, and economic evaluation of a CCHP system for a data center based on operational data
Xu DH, Qu M
Energy and Buildings, 67, 176, 2013 |
| 10 |
Drivers for renewable energy: A comparison among OECD countries
Gan JB, Smith CT
Biomass & Bioenergy, 35(11), 4497, 2011 |
