| 1 |
On the evaluation of density of ionic liquids: towards a comparative study
Rostami A, Baghban A, Shirazian S
Chemical Engineering Research & Design, 147, 648, 2019 |
| 2 |
Multivariate data analysis applied in the evaluation of crude oil blends
Sad CMS, da Silva M, dos Santos FD, Pereira LB, Corona RRB, Silva SRC, Portela NA, Castro EVR, Filgueiras PR, Lacerda V
Fuel, 239, 421, 2019 |
| 3 |
Recursive estimation in piecewise affine systems using parameter identifiers and concurrent learning
Kersting S, Buss M
International Journal of Control, 92(6), 1264, 2019 |
| 4 |
A prediction and outlier detection scheme of molten steel temperature in ladle furnace
Wang B, Mao ZZ, Huang KK
Chemical Engineering Research & Design, 138, 229, 2018 |
| 5 |
Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis
Villar-Rodriguez E, Del Ser J, Oregi I, Bilbao MN, Gil-Lopez S
Energy, 137, 118, 2017 |
| 6 |
Optimization of support vector regression model based on outlier detection methods for predicting electricity consumption of a public building WSHP system
Sun SB, Li GN, Chen HX, Guo YB, Wang JY, Huang QY, Hu WJ
Energy and Buildings, 151, 35, 2017 |
| 7 |
Application of radial basis function neural networks in bubble point oil formation volume factor prediction for petroleum systems
Fath AH
Fluid Phase Equilibria, 437, 14, 2017 |
| 8 |
Ensemble Correntropy-Based Mooney Viscosity Prediction Model for an Industrial Rubber Mixing Process
Liu Y, Fan Y, Zhou LC, Jin FJ, Gao ZL
Chemical Engineering & Technology, 39(10), 1804, 2016 |
| 9 |
A statistical training data cleaning strategy for the PCA-based chiller sensor fault detection, diagnosis and data reconstruction method
Hu YP, Chen HX, Li GN, Li HR, Xu RJ, Li J
Energy and Buildings, 112, 270, 2016 |
| 10 |
Modeling of the vaporization enthalpies of petroleum fractions
Kamari A, Sattari M, Mohammadi AH, Ramjugernath D
Fluid Phase Equilibria, 412, 228, 2016 |
