| Kernel PLS-based GLRT method for fault detection of chemical processes C Botre, M Mansouri, M Nounou, H Nounou, MN Karim Journal of Loss Prevention in the Process Industries 43, 212-224, 2016 | 108 | 2016 |
| Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters P Shah, MZ Sheriff, MSF Bangi, C Kravaris, JSI Kwon, C Botre, J Hirota Chemical Engineering Journal 441, 135643, 2022 | 101 | 2022 |
| Multiscale PLS-based GLRT for fault detection of chemical processes C Botre, M Mansouri, MN Karim, H Nounou, M Nounou Journal of Loss Prevention in the Process Industries 46, 143-153, 2017 | 57 | 2017 |
| Process monitoring using data-based fault detection techniques: Comparative studies MZ Sheriff, C Botre, M Mansouri, H Nounou, M Nounou, MN Karim Fault diagnosis and detection 32, 137-144, 2017 | 41 | 2017 |
| Multi‐rate observer design and optimal control to maximize productivity of an industry‐scale fermentation process P Shah, MZ Sheriff, MSF Bangi, C Kravaris, JSI Kwon, C Botre, J Hirota AIChE Journal 69 (2), e17946, 2023 | 28 | 2023 |
| Estimation of unmeasured states in a bioreactor under unknown disturbances X Pan, JP Raftery, C Botre, MR DeSessa, T Jaladi, MN Karim Industrial & Engineering Chemistry Research 58 (6), 2235-2245, 2019 | 7 | 2019 |
| Deep neural network-based hybrid modeling and experimental validation for a full-scale bio-fermentation process: Identification of time-varying dependencies among parameters P Shah, Z Sheriff, MSF Bangi, J Kwon, C Kravaris, C Botre, J Hirota Available at SSRN 3978852, 2022 | 3 | 2022 |
| Developing a hybrid model of a biochemical fermentation process C Kravaris, J Kwon, P Shah, MZ Sheriff, MSF Bangi, C Botre, J Hirota US Patent App. 18/037,296, 2024 | 1 | 2024 |
| Closed-Loop Optimal Control Operation of an Industry-Scale Bioreactor and Experimental Validation P Shah, MZ Sheriff, MSF Bangi, J Kwon, C Kravaris, C Botre, J Hirota 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Detection and Isolation of Abnormal Event in Nonlinear Industrial Processes By a Novel Data-Based Method C Botre, H Nounou, M Nounou, N Karim 2019 Spring Meeting and 15th Global Congress on Process Safety, 2019 | | 2019 |
| Data-Based Methods and Algorithms for Fault Detection and Diagnosis of Chemical and Bio-Chemical Processes CC Botre Texas A&M University, 2019 | | 2019 |
| Process Monitoring of Batch Bioreactor Process Using Optimized Data Based Model C Botre, JP Raftery, M Mansouri, M Nounou, H Nounou, N Karim 2018 Spring Meeting and 14th Global Congress on Process Safety, 2018 | | 2018 |
| A Review of Generalized Likelihood Ratio Based Monitoring Techniques MZ Sheriff, C Botre, H Nounou, MN Karim, M Nounou 2018 Spring Meeting and 14th Global Congress on Process Safety, 2018 | | 2018 |
| Process Monitoring Using a PCA-Based Exponentially Weighted Generalized Likelihood Ratio Chart MZ Sheriff, C Botre, M Mansouri, MN Karim, H Nounou, M Nounou 2017 AIChE Annual Meeting, 2017 | | 2017 |
| Multiscale based nonlinear fault detection of industrial processes C Botre, M Mansouri, H Nounou, M Nounou, MN Karim Fuels and Petrochemicals Division 2017-Core Programming Area at the 2017 …, 2017 | | 2017 |
| Nonlinear partial least square (NPLS) methods with generalized likelihood ratio test (GLRT) for fault detection and diagnosis of chemical processes C Botre, M Mansouri, MN Nounou, HN Nounou, MN Karim Fuels and Petrochemicals Division 2016-Core Programming Area at the 2016 …, 2016 | | 2016 |
| 443825 Nonlinear Partial Least Square (PLS) Methods with Generalized Likelihood Ratio Test (GLRT) for Fault Detection and Diagnosis of Chemical Processes C Botre | | |
| 462503 Data Based Process Monitoring of Industrial Processes Using Multiscale Nonlinear Multivariate Statistical Methods C Botre | | |