| 1 |
Drying characteristics of thermally pre-treated Cobra 26 F1 tomato slabs and applicability of Gaussian process regression-based models for the prediction of experimental kinetic data
Adeyi O, Oke EO, Adeyi AJ, Okolo BI, Olalere AO, Otolorin JA, Adeola A, Dagogo B, Ogunsola AD, Oladunni S
Korean Journal of Chemical Engineering, 39(5), 1135, 2022 |
| 2 |
Knowledge transfer across cell lines using hybrid Gaussian process models with entity embedding vectors
Hutter C, Stosch M, Bournazou MNC, Butte A
Biotechnology and Bioengineering, 118(11), 4389, 2021 |
| 3 |
Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression
Avendano-Valencia LD, Abdallah I, Chatzi E
Renewable Energy, 170, 539, 2021 |
| 4 |
Real-time rotor effective wind speed estimation using Gaussian process regression and Kalman filtering
Lio WH, Li A, Meng FZ
Renewable Energy, 169, 670, 2021 |
| 5 |
Turbulence-parameter estimation for current-energy converters using surrogate model optimization
Olson SS, Su JCP, Silva H, Chartrand CC, Roberts JD
Renewable Energy, 168, 559, 2021 |
| 6 |
Gaussian process regression with heteroscedastic noises - A machine-learning predictive variance approach
Li ZX, Hong XD, Hao KR, Chen L, Huang B
Chemical Engineering Research & Design, 157, 162, 2020 |
| 7 |
Some Aspects of Combining Data and Models in Process Engineering
Heese R, Nies J, Bortz M
Chemie Ingenieur Technik, 92(7), 856, 2020 |
| 8 |
Li-ion battery state of health estimation through Gaussian process regression with Thevenin model
Lyu ZQ, Gao RJ
International Journal of Energy Research, 44(13), 10262, 2020 |
| 9 |
Online reduced gaussian process regression based generalized likelihood ratio test for fault detection
Fezai R, Mansouri M, Abodayeh K, Nounou H, Nounou M
Journal of Process Control, 85, 30, 2020 |
| 10 |
Output-relevant Variational autoencoder for Just-in-time soft sensor modeling with missing data
Guo F, Bai WT, Huang B
Journal of Process Control, 92, 90, 2020 |
