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Okba Taouali
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2020 – today
- 2024
- [j18]Kamel Zidi
, Khaoula Ben Abdellafou, Ahamed Aljuhani, Okba Taouali, Mohamed Faouzi Harkat:
Novel intrusion detection system based on a downsized kernel method for cybersecurity in smart agriculture. Eng. Appl. Artif. Intell. 133: 108579 (2024) - [j17]Ahamed Aljuhani
A Deep-Learning-Integrated Blockchain Framework for Securing Industrial IoT. IEEE Internet Things J. 11(5): 7817-7827 (2024) - [j16]Sawssen Bacha, Ahamed Aljuhani, Khawla Ben Abdellafou, Okba Taouali, Noureddine Liouane, Mamoun Alazab:
Anomaly-based intrusion detection system in IoT using kernel extreme learning machine. J. Ambient Intell. Humaniz. Comput. 15(1): 231-242 (2024) - [j15]Imen Hamrouni, Khaoula Ben Abdellafou, Majed Aborokbah, Okba Taouali
Dynamic sensor fault detection approach using data-driven techniques. Neural Comput. Appl. 36(23): 14291-14307 (2024) - 2023
- [j14]Okba Taouali, Sawcen Bacha, Khaoula Ben Abdellafou, Ahamed Aljuhani, Kamel Zidi
Intelligent Intrusion Detection System for the Internet of Medical Things Based on Data-Driven Techniques. Comput. Syst. Sci. Eng. 47(2): 1593-1609 (2023) - [j13]Imen Hamrouni, Hajer Lahdhiri, Khaoula Ben Abdellafou, Ahamed Aljuhani, Okba Taouali
Anomaly detection for process monitoring based on machine learning technique. Neural Comput. Appl. 35(5): 4073-4097 (2023) - 2022
- [j12]Sawcen Bacha, Khawla Ben Abdellafou, Ahamed Aljuhani, Okba Taouali
Early detection of digital mammogram using kernel extreme learning machine. Concurr. Comput. Pract. Exp. 34(15) (2022) - 2021
- [j11]Hajer Lahdhiri, Ahamed Aljuhani
An Improved Fault Diagnosis Strategy for Process Monitoring Using Reconstruction Based Contributions. IEEE Access 9: 79520-79533 (2021) - [j10]Syrine Neffati, Khaoula Ben Abdellafou, Ahamed Aljuhani, Okba Taouali:
An enhanced CAD system based on machine Learning Algorithm for brain MRI classification. J. Intell. Fuzzy Syst. 41(1): 1845-1854 (2021) - [c12]Imen Hamrouni, Hajer Lahdhiri, Okba Taouali, Kais Bouzrara:
Uncertain Dynamic Process Monitoring Using Moving Window Interval PCA. SSD 2021: 580-588 - 2020
- [j9]Syrine Neffati, Khaoula Ben Abdellafou
Enhanced SVM-KPCA Method for Brain MR Image Classification. Comput. J. 63(3): 383-394 (2020) - [j8]Maroua Said, Khaoula Ben Abdellafou, Okba Taouali
Machine learning technique for data-driven fault detection of nonlinear processes. J. Intell. Manuf. 31(4): 865-884 (2020)
2010 – 2019
- 2019
- [j7]Syrine Neffati
An improved machine learning technique based on downsized KPCA for Alzheimer's disease classification. Int. J. Imaging Syst. Technol. 29(2): 121-131 (2019) - [j6]Hajer Lahdhiri, Khaoula Ben Abdellafou
New online kernel method with the Tabu search algorithm for process monitoring. Trans. Inst. Meas. Control 41(10): 2687-2698 (2019) - [c11]Syrine Neffati, Okba Taouali
New kernel method for MRI classification. SSD 2019: 1-6 - 2018
- [j5]Ines Jaffel, Okba Taouali
Fault detection and isolation in nonlinear systems with partial Reduced Kernel Principal Component Analysis method. Trans. Inst. Meas. Control 40(4): 1289-1296 (2018) - [c10]Radhia Fezai, Majdi Mansouri
Fault Diagnosis for Dynamic Nonlinear System Based on Variable Moving Window KPCA. SSD 2018: 590-595 - [c9]Radhia Fazai, Majdi Mansouri
Fault Detection of the Tennessee Eastman Process using Online Reduced Kernel PCA. ECC 2018: 2697-2702 - [c8]Radhia Fazai, Majdi Mansouri
Reduced Kernel Principal Component Analysis for Fault Detection and Its Application to an Air Quality Monitoring Network. SMC 2018: 3159-3164 - 2017
- [c7]Radhia Fezai, Ines Jaffel, Okba Taouali
Online process monitoring based on kernel method. ICCAD 2017: 236-241 - [c6]Ines Jaffel, Radhia Fezai, Okba Taouali
Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC. ICCAD 2017: 487-492 - 2016
- [c5]Hamza Nejib, Okba Taouali
Identification of nonlinear systems with kernel methods. SMC 2016: 577-581 - 2015
- [c4]Ines Jaffel, Okba Taouali
On the application of recursive principal component analysis method to fault detection and isolation. ICSC 2015: 218-223 - [c3]Okba Taouali
Online identification of nonlinear system using a new kernel algorithm. ICSC 2015: 480-485 - 2014
- [j4]Okba Taouali
Hybrid kernel identification method based on support vector regression and regularisation network algorithms. IET Signal Process. 8(9): 981-989 (2014) - 2013
- [j3]Ines Jaffel, Okba Taouali
A new online fault detection method based on PCA technique. IMA J. Math. Control. Inf. 31(4): 487-499 (2013) - 2012
- [j2]Okba Taouali, Ilyes Elaissi, Hassani Messaoud:
Design and comparative study of online kernel methods identification of nonlinear system in RKHS space. Artif. Intell. Rev. 37(4): 289-300 (2012) - [j1]Okba Taouali, Ilyes Elaissi, Hassani Messaoud:
Online identification of nonlinear system using reduced kernel principal component analysis. Neural Comput. Appl. 21(1): 161-169 (2012)
2000 – 2009
- 2009
- [c2]Okba Taouali, Ilyes Elaissi, Nathalie Villa, Hassani Messaoud:
Identification of non linear multivariable processes modelled on reproducing Kernel Hilbert space: Application to Tennessee process. ICONS 2009: 197-202 - [c1]Okba Taouali, Saidi Nabiha, Hassani Messaoud:
A comparative study of non linear MISO Process modelling techniques: Application to a chemical reactor. ICONS 2009: 203-208
Coauthor Index
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last updated on 2024-09-10 01:18 CEST by the dblp team
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