| Online reduced kernel principal component analysis for process monitoring R Fezai, M Mansouri, O Taouali, MF Harkat, N Bouguila Journal of Process Control 61, 1-11, 2018 | 119 | 2018 |
| Moving window KPCA with reduced complexity for nonlinear dynamic process monitoring I Jaffel, O Taouali, MF Harkat, H Messaoud ISA transactions 64, 184-192, 2016 | 89 | 2016 |
| New fault detection method based on reduced kernel principal component analysis (RKPCA) O Taouali, I Jaffel, H Lahdhiri, MF Harkat, H Messaoud The International Journal of Advanced Manufacturing Technology 85, 1547-1552, 2016 | 71 | 2016 |
| A new fault detection method for nonlinear process monitoring R Fazai, O Taouali, MF Harkat, N Bouguila The International Journal of Advanced Manufacturing Technology 87, 3425-3436, 2016 | 55 | 2016 |
| Machine learning technique for data-driven fault detection of nonlinear processes M Said, K Abdellafou, O Taouali Journal of Intelligent Manufacturing 31 (4), 865-884, 2020 | 54 | 2020 |
| Kernel principal component analysis with reduced complexity for nonlinear dynamic process monitoring I Jaffel, O Taouali, MF Harkat, H Messaoud The International Journal of Advanced Manufacturing Technology 88, 3265-3279, 2017 | 49 | 2017 |
| A novel machine learning approach for breast cancer diagnosis S Bacha, O Taouali Measurement 187, 110233, 2022 | 46 | 2022 |
| Supervised process monitoring and fault diagnosis based on machine learning methods H Lahdhiri, M Said, KB Abdellafou, O Taouali, MF Harkat The International Journal of Advanced Manufacturing Technology 102, 2321-2337, 2019 | 42 | 2019 |
| Nonlinear process monitoring based on new reduced Rank-KPCA method H Lahdhiri, I Elaissi, O Taouali, MF Harakat, H Messaoud Stochastic Environmental Research and Risk Assessment 32, 1833-1848, 2018 | 42 | 2018 |
| An improved machine learning technique based on downsized KPCA for Alzheimer's disease classification S Neffati, K Ben Abdellafou, I Jaffel, O Taouali, K Bouzrara International Journal of Imaging Systems and Technology 29 (2), 121-131, 2019 | 41 | 2019 |
| A new online fault detection method based on PCA technique I Jaffel, O Taouali, E Elaissi, H Messaoud IMA Journal of Mathematical Control and Information 31 (4), 487-499, 2014 | 41 | 2014 |
| Online prediction model based on the SVD–KPCA method I Elaissi, I Jaffel, O Taouali, H Messaoud ISA transactions 52 (1), 96-104, 2013 | 34 | 2013 |
| A new fault detection index based on Mahalanobis distance and kernel method H Lahdhiri, O Taouali, I Elaissi, I Jaffel, MF Harakat, H Messaoud The International Journal of Advanced Manufacturing Technology 91, 2799-2809, 2017 | 32 | 2017 |
| Anomaly-based intrusion detection system in IoT using kernel extreme learning machine S Bacha, A Aljuhani, KB Abdellafou, O Taouali, N Liouane, M Alazab Journal of Ambient Intelligence and Humanized Computing 15 (1), 231-242, 2024 | 30 | 2024 |
| Reduced rank KPCA based on GLRT chart for sensor fault detection in nonlinear chemical process H Lahdhiri, O Taouali Measurement 169, 108342, 2021 | 29 | 2021 |
| Online identification of nonlinear system using reduced kernel principal component analysis O Taouali, I Elaissi, H Messaoud Neural Computing and Applications 21 (1), 161-169, 2012 | 27 | 2012 |
| Decentralized fault detection and isolation using bond graph and PCA methods M Said, R Fazai, K Ben Abdellafou, O Taouali The international journal of advanced manufacturing technology 99, 517-529, 2018 | 26 | 2018 |
| Interval valued data driven approach for sensor fault detection of nonlinear uncertain process H Lahdhiri, O Taouali Measurement 171, 108776, 2021 | 24 | 2021 |
| Fault detection of uncertain nonlinear process using reduced interval kernel principal component analysis (RIKPCA) I Hamrouni, H Lahdhiri, K Abdellafou, O Taouali The International Journal of Advanced Manufacturing Technology 106, 4567-4576, 2020 | 23 | 2020 |
| Enhanced SVM–KPCA method for brain MR image classification S Neffati, K Ben Abdellafou, O Taouali, K Bouzrara The Computer Journal 63 (3), 383-394, 2020 | 21 | 2020 |
Hassani MessaoudProfesseurVerifisert e-postadresse på enim.rnu.tn
