| 1 |
첨단 전자산업 폐수처리시설의 Water Digital Twin(II): e-ASM 모델 보정, 수질 예측, 공정 선택과 설계
허성구, 정찬혁, 이나희, 심예림, 우태용, 김정인, 유창규
Clean Technology, 28(1), 79, 2022 |
| 2 |
Bayesian network for dynamic variable structure learning and transfer modeling of probabilistic soft sensor
Zeng L, Ge ZQ
Journal of Process Control, 100, 20, 2021 |
| 3 |
Monitoring and prediction of big process data with deep latent variable models and parallel computing
Yang ZY, Ge ZQ
Journal of Process Control, 92, 19, 2020 |
| 4 |
Online prediction of quality-related variables for batch processes using a sequential phase partition method
Li Z, Wang P, Gao XJ, Qi YS, Chang P
Canadian Journal of Chemical Engineering, 97(9), 2483, 2019 |
| 5 |
EFFECT OF MICRITE CONTENT ON CALCITE CEMENTATION IN AN UPPER JURASSIC CARBONATE RESERVOIR, EASTERN SAUDI ARABIA
Zhang S, Lu P
Journal of Petroleum Geology, 42(1), 79, 2019 |
| 6 |
Scalable learning and probabilistic analytics of industrial big data based on parameter server: Framework, methods and applications
Yao L, Ge ZQ
Journal of Process Control, 78, 13, 2019 |
| 7 |
Quality prediction for multi-grade processes by just-in-time latent variable modeling with integration of common and special features
Liu JX, Liu T, Chen JH
Chemical Engineering Science, 191, 31, 2018 |
| 8 |
Methods of coke quality prediction: A review
North L, Blackmore K, Nesbitt K, Mahoney MR
Fuel, 219, 426, 2018 |
| 9 |
Models of coke quality prediction and the relationships to input variables: A review
North L, Blackmoreb K, Nesbitt K, Mahoney MR
Fuel, 219, 446, 2018 |
| 10 |
Modelling the transport phenomena and texture changes of chicken breast meat during the roasting in a convective oven
Rabeler F, Feyissa AH
Journal of Food Engineering, 237, 60, 2018 |
