| A novel unsupervised approach for batch process monitoring using deep learning P Agarwal, M Aghaee, M Tamer, H Budman Computers & Chemical Engineering 159, 107694, 2022 | 37 | 2022 |
| Unsupervised fault detection of pharmaceutical processes using long short-term memory autoencoders M Aghaee, S Krau, M Tamer, H Budman Industrial & Engineering Chemistry Research 62 (25), 9773-9786, 2023 | 10 | 2023 |
| Artificial intelligence applications for fault detection and diagnosis in pharmaceutical bioprocesses: a review M Aghaee, A Mishra, S Krau, IM Tamer, H Budman Current Opinion in Chemical Engineering 44, 101025, 2024 | 3 | 2024 |
| Graph Neural Network Representation of State Space Models of Metabolic Pathways M Aghaee, S Krau, M Tamer, H Budman IFAC-PapersOnLine 58 (14), 464-469, 2024 | 3 | 2024 |
| Unsupervised Hybrid Models Integrating Deep Autoencoders and Process Controllers’ Models for Enhanced Process Monitoring and Fault Detection M Aghaee, S Krau, IM Tamer, H Budman Industrial & Engineering Chemistry Research 63 (33), 14748-14760, 2024 | | 2024 |
| Application of Deep Learning in Pharmaceutical Processes: Monitoring, Diagnosis and Modeling MA Foroushani University of Waterloo, 2024 | | 2024 |
Hector BudmanUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Hector BudmanUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证
Piyush AgarwalPfizer Inc在 uwaterloo.ca 的电子邮件经过验证
Abhishek MishraUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证