11 |
Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes Wu Z, Rincon D, Christofides PD Journal of Process Control, 89, 74, 2020 |
12 |
Analysis of safety leadership using a science mapping approach Tao J, Yang FQ, Qiu DY, Reniers G Process Safety and Environmental Protection, 140, 244, 2020 |
13 |
Design of machine learning models with domain experts for automated sensor selection for energy fault detection Hu RL, Granderson J, Auslander DM, Agogino A Applied Energy, 235, 117, 2019 |
14 |
Knowledge visualization and nano-crystal modeling geometry Constant J Applied Surface Science, 473, 668, 2019 |
15 |
Operation optimization research of circulating cooling water system based on superstructure and domain knowledge Zhu XC, Niu DP, Wang FL, Guo YM, Jia MX Chemical Engineering Research & Design, 142, 285, 2019 |
16 |
Understanding the effect of specialization on hospital performance through knowledge-guided machine learning Lee J, He QP Computers & Chemical Engineering, 125, 490, 2019 |
17 |
A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning Xiao QE, Li CB, Tang Y, Li LL, Li L Energy, 166, 142, 2019 |
18 |
Knowledge discovery of data-driven-based fault diagnostics for building energy systems: A case study of the building variable refrigerant flow system Liu JY, Li GN, Liu B, Li KN, Chen HX Energy, 174, 873, 2019 |
19 |
An energy efficiency integration optimization scheme for ethylene production with respect to multiple working conditions Gong SX, Shao C, Zhu L Energy, 182, 280, 2019 |
20 |
Mapping the knowledge roadmap of low carbon building: A scientometric analysis Luo T, Tan YT, Langston C, Xue XL Energy and Buildings, 194, 163, 2019 |