| 1 |
Characterization of caking for crystalline materials: Comparison and statistical analysis of three mechanical tests
Samain S, Leturia M, Mottelet S, Benali M, Saleh K
Chemical Engineering Science, 195, 218, 2019 |
| 2 |
A novel hybrid of auto-associative kernel regression and dynamic independent component analysis for fault detection in nonlinear multimode processes
Yu J, Yoo J, Jang J, Park JH, Kim S
Journal of Process Control, 68, 129, 2018 |
| 3 |
Property Prediction of Crystalline Solids from Composition and Crystal Structure
Calfa BA, Kitchin JR
AIChE Journal, 62(8), 2605, 2016 |
| 4 |
Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery
Hu C, Jain G, Zhang PQ, Schmidt C, Gomadam P, Gorka T
Applied Energy, 129, 49, 2014 |
| 5 |
Modified Kernel Regression Integrated with Monotonicity Knowledge and Its Application to Chemical Engineering
Pan CJ, Dong YM, Yan XF, Guo MJ
Journal of Chemical Engineering of Japan, 47(1), 52, 2014 |
| 6 |
Calibration and uncertainty analysis for computer models - A meta-model based approach for integrated building energy simulation
Manfren M, Aste N, Moshksar R
Applied Energy, 103, 627, 2013 |
| 7 |
A Novel Systematic Method of Quality Monitoring and Prediction Based on FDA and Kernel Regression
Zhang X, Ma SL, Yan WW, Zhao X, Shao HH
Chinese Journal of Chemical Engineering, 17(3), 427, 2009 |
| 8 |
Feature extraction and denoising using kernel PCA
Jade AM, Srikanth B, Jayaraman VK, Kulkarni BD, Jog JP, Priya L
Chemical Engineering Science, 58(19), 4441, 2003 |
