Mohamed Faouzi Harkat
Orcid: 0000-0003-2093-0902
According to our database1,
Mohamed Faouzi Harkat
authored at least 31 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Novel intrusion detection system based on a downsized kernel method for cybersecurity in smart agriculture.
Eng. Appl. Artif. Intell., 2024
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval.
IEEE Access, 2024
Proceedings of the 10th International Conference on Control, 2024
Uncertainty Quantification Kernel PCA: Enhancing Fault Detection in Interval-Valued Data.
Proceedings of the 10th International Conference on Control, 2024
2023
Intelligent Intrusion Detection System for the Internet of Medical Things Based on Data-Driven Techniques.
Comput. Syst. Sci. Eng., 2023
2022
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022
2021
Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems.
Eur. J. Control, 2021
2020
A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems.
IEEE Access, 2020
Interval-Valued Features Based Machine Learning Technique for Fault Detection and Diagnosis of Uncertain HVAC Systems.
IEEE Access, 2020
Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS.
IEEE Access, 2020
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020
Fault detection of uncertain nonlinear process using interval-valued data-driven approach.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020
Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020
2019
Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test.
Inf. Sci., 2019
2018
Fault detection and isolation in nonlinear systems with partial Reduced Kernel Principal Component Analysis method.
Trans. Inst. Meas. Control, 2018
Reduced Kernel Principal Component Analysis for Fault Detection and Its Application to an Air Quality Monitoring Network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Uncertain Dynamic Process Monitoring Using Moving Window PCA for Interval-Valued Data.
Proceedings of the 29th International Workshop on Principles of Diagnosis co-located with 10th IFAC Symposium on Fault Detection, 2018
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018
Proceedings of the 15th International Multi-Conference on Systems, Signals & Devices, 2018
2017
Fault detection of chemical processes using improved generalized likelihood ratio test.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017
Fault detection localization and reconstruction in nonlinear system using RKPCA method and RBC.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017
2013
Adaptive kernel principal component analysis for nonlinear dynamic process monitoring.
Proceedings of the 9th Asian Control Conference, 2013
2012
Combined Input Training and Radial Basis Function Neural Networks based Nonlinear Principal Components Analysis Model Applied for Process Monitoring.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012
2007
Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis.
Int. J. Autom. Comput., 2007
Speech enhancement using PCA and variance of the reconstruction error model identification.
Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007