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Abdelmalek Kouadri
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2020 – today
- 2024
- [j7]Mohammed Tahar Habib Kaib, Abdelmalek Kouadri, Mohamed Faouzi Harkat, Abderazak Bensmail, Majdi Mansouri
:
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval. IEEE Access 12: 11470-11480 (2024) - [c13]Lahcene Rouani, Mohamed Faouzi Harkat, Abdelmalek Kouadri, Abderazak Bensmail, Majdi Mansouri, Mohamed N. Nounou:
Dynamic Interval-Valued PCA for Enhanced Fault Detection. CoDIT 2024: 2911-2916 - [c12]Khadija Attouri, Majdi Mansouri, Mansour Hajji, Abdelmalek Kouadri, Kais Bouzrara, Hazem N. Nounou:
Real-Time Fault Detection and Diagnosis Method for Industrial Chemical Tennessee Eastman Process. CoDIT 2024: 3009-3014 - [c11]Khadija Attouri, Majdi Mansouri, Mansour Hajji, Abdelmalek Kouadri, Kais Bouzrara, Hazem N. Nounou:
Real-Time Fault Detection Scheme for Industrial Chemical Tennessee Eastman Process. CoDIT 2024: 3015-3020 - [c10]Abdelhalim Louifi, Abdelmalek Kouadri, Mohamed Faouzi Harkat, Abderazak Bensmail, Majdi Mansouri, Hazem N. Nounou:
Uncertainty Quantification Kernel PCA: Enhancing Fault Detection in Interval-Valued Data. CoDIT 2024: 3021-3026 - 2022
- [c9]Abdelhalim Louifi, Salah Eddine Louhab, Abdelmalek Kouadri, Lahcene Rouani, Abderazak Bensmail, Mohamed Faouzi Harkat:
Interval Valued PCA-Based Approach For Fault Detection In Complex Systems. SSD 2022: 184-189 - 2021
- [j6]Mansour Hajji
Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems. Eur. J. Control 59: 313-321 (2021) - [c8]Khadija Attouri, Mansour Hajji, Majdi Mansouri, Hazem N. Nounou
Faults Classification in Grid-Connected Photovoltaic Systems. SSD 2021: 1431-1437 - 2020
- [j5]Radhia Fezai
Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS. IEEE Access 8: 78343-78353 (2020) - [j4]Wahiba Bounoua
Online monitoring scheme using principal component analysis through Kullback-Leibler divergence analysis technique for fault detection. Trans. Inst. Meas. Control 42(6): 1225-1238 (2020) - [c7]Amal Hichri
Fault detection and diagnosis in grid-connected photovoltaic systems. SSD 2020: 201-206 - [c6]Khadija Attouri, Mansour Hajji
Fault detection in photovoltaic systems using machine learning technique. SSD 2020: 207-212 - [c5]Zahra Yahyaoui
Efficient fault detection and diagnosis of wind energy converter systems. SSD 2020: 213-218 - [c4]Khaled Dhibi, Radhia Fezai, Kais Bouzrara, Majdi Mansouri, Abdelmalek Kouadri, Mohamed Faouzi Harkat:
Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring. SSD 2020: 302-307 - [c3]Khaled Dhibi, Radhia Fezai, Kais Bouzrara, Majdi Mansouri, Abdelmalek Kouadri, Mohamed Faouzi Harkat:
Fault detection of uncertain nonlinear process using interval-valued data-driven approach. SSD 2020: 585-590 - [c2]Lamia Belguesmi, Mansour Hajji
Machine learning approaches for fault detection and diagnosis of induction motors. SSD 2020: 692-698
2010 – 2019
- 2019
- [c1]Khaled Dhibi, Radhia Fezai, Majdi Mansouri, Abdelmalek Kouadri, Kais Bouzrara:
Machine Learning based Reduced Kernel PCA for Nonlinear Process Monitoring. IINTEC 2019: 180-185 - 2014
- [j3]Abdelmalek Kouadri
An adaptive threshold estimation scheme for abrupt changes detection algorithm in a cement rotary kiln. J. Comput. Appl. Math. 259: 835-842 (2014) - 2013
- [j2]Abdelmalek Kouadri
A statistical-based approach for fault detection in a three tank system. Int. J. Syst. Sci. 44(10): 1783-1792 (2013) - 2011
- [j1]Abdelmalek Kouadri, Mimoun Zelmat, Alhussein Albarbar:
Prediction of boiler output variables through the PLS linear regression technique. Int. Arab J. Inf. Technol. 8(3): 260-264 (2011)
Coauthor Index
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last updated on 2024-11-13 23:53 CET by the dblp team
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