검색결과 : 8건
| No. | Article |
|---|---|
| 1 |
A Novel Dynamic Just-in-Time Learning Framework for Modeling of Batch Processes Joshi T, Goyal V, Kodamana H Industrial & Engineering Chemistry Research, 59(43), 19334, 2020 |
| 2 |
Semi-supervised dynamic latent variable modeling: I/O probabilistic slow feature analysis approach Fan L, Kodamana H, Huang BA AIChE Journal, 65(3), 964, 2019 |
| 3 |
Dynamic prediction of interface level using spatial temporal markov random field Liu ZY, Kodamana H, Afacan A, Huang B Computers & Chemical Engineering, 128, 301, 2019 |
| 4 |
Hierarchically Distributed Monitoring for the Early Prediction of Gas Flare Events Fang MQ, Ibrahim F, Kodamana H, Huang B, Bell N, Nixon M Industrial & Engineering Chemistry Research, 58(26), 11352, 2019 |
| 5 |
Gaussian process modelling with Gaussian mixture likelihood Daemi A, Kodamana H, Huang B Journal of Process Control, 81, 209, 2019 |
| 6 |
Process monitoring using a generalized probabilistic linear latent variable model Raveendran R, Kodamana H, Huang B Automatica, 96, 73, 2018 |
| 7 |
A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data Fang MQ, Kodamana H, Huang BA, Sammaknejad N Computers & Chemical Engineering, 111, 149, 2018 |
| 8 |
Approaches to robust process identification: A review and tutorial of probabilistic methods Kodamana H, Huang B, Ranjan R, Zhao YJ, Tan RM, Sammaknejad N Journal of Process Control, 66, 68, 2018 |