| 1 |
A review of the Expectation Maximization algorithm in data-driven process identification
Sammaknejad N, Zhao YJ, Huang B
Journal of Process Control, 73, 123, 2019 |
| 2 |
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 |
| 3 |
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 |
| 4 |
Operating Condition Diagnosis Based on HMM with Adaptive Transition Probabilities in Presence of Missing Observations
Sammaknejad N, Huang B, Xiong WL, Fatehi A, Xu FW, Espejo A
AIChE Journal, 61(2), 477, 2015 |
| 5 |
Adaptive monitoring of the process operation based on symbolic episode representation and hidden Markov models with application toward an oil sand primary separation
Sammaknejad N, Huang BA, Fatehi A, Miao Y, Xu FW, Espejo A
Computers & Chemical Engineering, 71, 281, 2014 |
