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 | 104 | 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 | 79 | 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 | 68 | 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 | 52 | 2016 |
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 | 47 | 2017 |
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 | 43 | 2020 |
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 | 38 | 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 | 37 | 2014 |
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 | 36 | 2018 |
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 |
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 | 33 | 2019 |
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 | 29 | 2017 |
A novel machine learning approach for breast cancer diagnosis S Bacha, O Taouali Measurement 187, 110233, 2022 | 28 | 2022 |
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 | 23 | 2018 |
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 | 22 | 2020 |
Reduced rank KPCA based on GLRT chart for sensor fault detection in nonlinear chemical process H Lahdhiri, O Taouali Measurement 169, 108342, 2021 | 21 | 2021 |
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 | 20 | 2020 |
A new Bio-CAD system based on the optimized KPCA for relevant feature selection S Neffati, K Ben Abdellafou, O Taouali, K Bouzrara The International Journal of Advanced Manufacturing Technology 102, 1023-1034, 2019 | 18 | 2019 |
An MR brain images classification technique via the Gaussian radial basis kernel and SVM S Neffati, O Taouali 2017 18th International Conference on Sciences and Techniques of Automatic …, 2017 | 18 | 2017 |