| 1 |
An ontology-based procedure knowledge framework for the process industry
Cao J, He YL, Zhu QX
Canadian Journal of Chemical Engineering, 99(2), 530, 2021 |
| 2 |
Modelling method of data-driven model combined with a priori knowledge and its application in average particle size estimation of composite colloidal sols
Zhou Y, Li SJ
Canadian Journal of Chemical Engineering, 99(2), 558, 2021 |
| 3 |
Recent advances in knowledge discovery for heterogeneous catalysis using machine learning
Gunay ME, Yildirim R
Catalysis Reviews-Science and Engineering, 63(1), 120, 2021 |
| 4 |
Distributed Adaptive Output Feedback Control for Multiagent Systems With Unknown Dynamics
Zhang Y, Su YF, Wang XH
IEEE Transactions on Automatic Control, 66(3), 1367, 2021 |
| 5 |
A Unifying Framework for Strong Structural Controllability
Jia JJ, van Waarde HJ, Trentelman HL, Camlibel MK
IEEE Transactions on Automatic Control, 66(1), 391, 2021 |
| 6 |
Data-knowledge-driven diagnosis method for sludge bulking of wastewater treatment process
Han HG, Dong LX, Qiao JF
Journal of Process Control, 98, 106, 2021 |
| 7 |
J-Park Simulator: Wissensgraph fur Industrie 4.0J-Park Simulator: Knowledge Graph for Industry 4.0
Kraft M, Eibeck A
Chemie Ingenieur Technik, 92(7), 967, 2020 |
| 8 |
Industrial Internet of Things for the Sugar Industry - Initial Results
Lehnberger A
Chemie Ingenieur Technik, 92(7), 978, 2020 |
| 9 |
Hydro-graph: A knowledge graph for hydrogen research trends and relations
Lin RH, Fang QY, Wu BD
International Journal of Hydrogen Energy, 45(39), 20408, 2020 |
| 10 |
Qualitative Modeling for Fault Diagnosis Based on Physical Knowledge and Historical Operation Data under Normal Operating Conditions
Xia JQ, Yamashita Y
Journal of Chemical Engineering of Japan, 53(12), 771, 2020 |
