Mohamed N. Nounou

Orcid: 0000-0003-0520-9623

According to our database1, Mohamed N. Nounou authored at least 149 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Raspberry Pi-Based Monitoring System for Grid-Connected PV Systems using Deep Learning Technique.
Proceedings of the 10th International Conference on Control, 2024

Dynamic Interval-Valued PCA for Enhanced Fault Detection.
Proceedings of the 10th International Conference on Control, 2024

Implementation of Genetic Algorithm Optimization based Artificial Neural Network on Raspberry Pi for Fault Diagnosis.
Proceedings of the 10th International Conference on Control, 2024

2023
Bayesian-optimized Gaussian process-based fault classification in industrial processes.
Comput. Chem. Eng., February, 2023

Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems.
IEEE Access, 2023

2022
Enhanced Multiscale Principal Component Analysis for Improved Sensor Fault Detection and Isolation.
Sensors, 2022

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems.
IEEE Access, 2022

Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems.
IEEE Access, 2022

Kernel PCA based BiLSTM for Fault Detection and Diagnosis for Wind Energy Converter Systems.
Proceedings of the 8th International Conference on Control, 2022

Efficient Fault Detection and Diagnosis in Photovoltaic System Using Deep Learning Technique.
Proceedings of the 8th International Conference on Control, 2022

Fault Classification using Deep Learning in a Grid-Connected Photovoltaic Systems.
Proceedings of the 8th International Conference on Control, 2022

Enhanced Recurrent Neural Network for Fault Diagnosis of Uncertain Wind Energy Conversion Systems.
Proceedings of the 8th International Conference on Control, 2022

Improved Ensemble Approach for Fault Diagnosis of Wind Energy Conversion Systems.
Proceedings of the 8th International Conference on Control, 2022

Effective Fault Diagnosis in Grid Connected Photovoltaic Systems Using Multiscale PCA based Artificial Neural Network Technique.
Proceedings of the 8th International Conference on Control, 2022

Deep Learning based Fault Diagnosis in a Grid-Connected Photovoltaic Systems.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

Reduced KPCA based Ensemble Learning Approach for Fault Diagnosis of Grid-Connected PV Systems.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

Uncertain Fault Diagnosis of Grid-Connected PV Systems based Improved Data-Driven Paradigms.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

2021
Fault diagnosis of biological systems using improved machine learning technique.
Int. J. Mach. Learn. Cybern., 2021

Online statistical hypothesis test for leak detection in water distribution networks.
J. Intell. Fuzzy Syst., 2021

Enhanced operation of wastewater treatment plant using state estimation-based fault detection strategies.
Int. J. Control, 2021

Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems.
Eur. J. Control, 2021

Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects.
IEEE Access, 2021

An Enhanced Ensemble Learning-Based Fault Detection and Diagnosis for Grid-Connected PV Systems.
IEEE Access, 2021

A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation.
IEEE Access, 2021

Improved Multiscale Multivariate Process Monitoring Methods.
Proceedings of the 2021 American Control Conference, 2021

A Novel Leak Detection Approach in Water Distribution Networks.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Random forest-based nonlinear improved feature extraction and selection for fault classification.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Reduced GPR based RF Approach for Fault Diagnosis of Wind Energy Conversion Systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Enhanced RF for Fault Detection and Diagnosis of Uncertain PV systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
Partial kernel PCA-based GLRT for fault diagnosis of nonlinear processes.
J. Intell. Fuzzy Syst., 2020

Multiclass data classification using fault detection-based techniques.
Comput. Chem. Eng., 2020

A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems.
IEEE Access, 2020

Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS.
IEEE Access, 2020

Fault Detection in Waste Water Treatment Plants using Improved Particle Filter-based Optimized EWMA.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

EWMA Kernel Generalized Likelihood Ratio Test for Fault Detection of Chemical Processes.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Enhanced data-driven Damage Detection for Structural Health Monitoring Systems.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Efficient fault detection and diagnosis of wind energy converter systems.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Fault detection and diagnosis in grid-connected photovoltaic systems.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Machine learning approaches for fault detection and diagnosis of induction motors.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

Fault detection in photovoltaic systems using machine learning technique.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020

2019
Multiscale Kernel PLS-Based Exponentially Weighted-GLRT and Its Application to Fault Detection.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Fault detection of uncertain chemical processes using interval partial least squares-based generalized likelihood ratio test.
Inf. Sci., 2019

Multiscale Gaussian process regression-based generalized likelihood ratio test for fault detection in water distribution networks.
Eng. Appl. Artif. Intell., 2019

Machine Learning-Based Statistical Hypothesis Testing for Fault Detection.
Proceedings of the 4th Conference on Control and Fault Tolerant Systems, 2019

Multiscale Gaussian Process Regression-Based GLRT for Water Quality Monitoring.
Proceedings of the 4th Conference on Control and Fault Tolerant Systems, 2019

Reduced Gaussian process regression for fault detection of chemical processes.
Proceedings of the International Conference on Internet of Things, 2019

Machine learning based Gaussian process regression for fault detection of Biological Systems.
Proceedings of the International Conference on Internet of Things, 2019

Diagnosis of nonlinear systems using reduced kernel principal component analysis.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2019

2018
Process monitoring using PCA-based GLR methods: A comparative study.
J. Comput. Sci., 2018

Multivariate fault detection and classification using interval principal component analysis.
J. Comput. Sci., 2018

Novel Fault Detection Approach of Biological Wastewater Treatment Plants.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Kernel Generalized Likelihood Ratio Test for Fault Detection of Chemical Processes.
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

Fault Detection of the Tennessee Eastman Process using Online Reduced Kernel PCA.
Proceedings of the 16th European Control Conference, 2018

Improved Statistical Method Based Exponentially Weighted GLRT Chart and Its Application to Fault Detection.
Proceedings of the 16th European Control Conference, 2018

Multiscale PLS-based Optimized EW-GLRT for Structural Damage Detection.
Proceedings of the 16th European Control Conference, 2018

Fault detection using UKF-based optimized EWMA method in wastewater treatment plant.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Effective monitoring of an air quality network.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Improved shewhart chart for damage detection of structural health monitoring systems.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Max-Double Adaptive EWMA for Fault Detection of Wastewater Treatment Plants.
Proceedings of the 15th IEEE/ACS International Conference on Computer Systems and Applications, 2018

2017
Fault detection of chemical processes using improved generalized likelihood ratio test.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Monitoring of chemical processes using improved multiscale KPCA.
Proceedings of the 4th International Conference on Control, 2017

Fault detection of nonlinear systems using an improved KPCA method.
Proceedings of the 4th International Conference on Control, 2017

Damage detection in structural health monitoring using kernel PLS based GLR.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

Fault detection of chemical processes using KPCA-based GLRT technique.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016
Iterated Robust kernel Fuzzy Principal Component Analysis and application to fault detection.
J. Comput. Sci., 2016

Measurement-based control approach for tuning PID controllers: application to induction machines.
J. Control. Decis., 2016

A measurement-based control design approach for efficient cancer chemotherapy.
Inf. Sci., 2016

Fault detection in processes represented by PLS models using an EWMA control scheme.
Proceedings of the International Conference on Control, 2016

Generalized Hebbian Algorithm for fault detection of CSTR model.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

States and parameters estimation for biomass substrate hypothetical system.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

Enhanced performance of shewhart charts using multiscale representation.
Proceedings of the 2016 American Control Conference, 2016

2015
Linear circuits: a measurement-based approach.
Int. J. Circuit Theory Appl., 2015

MARAGAP: a modular approach to reference assisted genome assembly pipeline.
Int. J. Comput. Biol. Drug Des., 2015

Iterated Square Root Unscented Kalman Filter for state estimation - CSTR model.
Proceedings of the 12th IEEE International Multi-Conference on Systems, Signals & Devices, 2015

Parameter identification for nonlinear biological phenomena modeled by S-systems.
Proceedings of the 12th IEEE International Multi-Conference on Systems, Signals & Devices, 2015

2014
Genetic Algorithm-based Adaptive Optimization for Target Tracking in Wireless Sensor Networks.
J. Signal Process. Syst., 2014

State and parameter estimation for nonlinear biological phenomena modeled by S-systems.
Digit. Signal Process., 2014

A model-free design of reduced-order controllers and application to a DC servomotor.
Autom., 2014

A new measurement based approach to the study of biological systems.
Proceedings of the 6th International Symposium on Communications, 2014

A data-based approach for designing adaptive controllers for unknown systems.
Proceedings of the 6th International Symposium on Communications, 2014

Univariate process monitoring using multiscale Shewhart charts.
Proceedings of the International Conference on Control, 2014

A Closed-Form Solution for Transcription Factor Activity Estimation Using Network Component Analysis.
Proceedings of the Algorithms for Computational Biology - First International Conference, 2014

Kullback-Leibler divergence -based improved particle filter.
Proceedings of the IEEE 11th International Multi-Conference on Systems, Signals & Devices, 2014

State estimation and application to induction machines - A comparative study.
Proceedings of the IEEE 11th International Multi-Conference on Systems, Signals & Devices, 2014

Improved particle filtering for state and parameter estimation- CSTR model.
Proceedings of the IEEE 11th International Multi-Conference on Systems, Signals & Devices, 2014

2013
Joint Node Localization and Time-Varying Clock Synchronization in Wireless Sensor Networks.
IEEE Trans. Wirel. Commun., 2013

Network-Wide Clock Synchronization via Message Passing with Exponentially Distributed Link Delays.
IEEE Trans. Commun., 2013

Parameter Estimation of Biological Phenomena: An Unscented Kalman Filter Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Model-based and model-free filtering of genomic data.
Netw. Model. Anal. Health Informatics Bioinform., 2013

Secure and robust clustering for quantized target tracking in wireless sensor networks.
J. Commun. Networks, 2013

A measurement-based approach for designing reduced-order controllers with guaranteed bounded error.
Int. J. Control, 2013

ROBNCA: robust network component analysis for recovering transcription factor activities.
Bioinform., 2013

Computational and Statistical Approaches for Modeling of Proteomic and Genomic Networks.
Adv. Bioinformatics, 2013

An Overview of the Statistical Methods Used for Inferring Gene Regulatory Networks and Protein-Protein Interaction Networks.
Adv. Bioinformatics, 2013

Reverse Engineering Sparse Gene Regulatory Networks Using Cubature Kalman Filter and Compressed Sensing.
Adv. Bioinformatics, 2013

Supersonic MiB.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

A distributed algorithm for network-wide clock synchronization in wireless sensor networks.
Proceedings of the 16th International Conference on Information Fusion, 2013

Detecting abnormal ozone levels using PCA-based GLR hypothesis testing.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Application of delay-dependent adaptive control to a continuous stirred tank reactor.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2013

Nonlinear latent variable regression.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2013

Enhanced modeling of distillation columns using integrated multiscale latent variable regression.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2013

Enhanced monitoring using PCA-based GLR fault detection and multiscale filtering.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2013

A model-free technique for designing fixed-order controllers.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A measurement based approach to mechanical systems.
Proceedings of the 9th Asian Control Conference, 2013

A control design method for unknown systems using frequency domain data.
Proceedings of the 9th Asian Control Conference, 2013

A statistical fault detection strategy using PCA based EWMA control schemes.
Proceedings of the 9th Asian Control Conference, 2013

Design of reduced-order controllers using a set of measurements: Application to a DC servomotor.
Proceedings of the American Control Conference, 2013

Robust control design method for uncertain system using a set of measurements.
Proceedings of the American Control Conference, 2013

A measurement-based approach for tuning of reduced-order controllers.
Proceedings of the American Control Conference, 2013

State estimation of a chemical reactor process model - A comparative study.
Proceedings of the 10th International Multi-Conferences on Systems, Signals & Devices, 2013

Estimation of nonlinear control parameters in induction machine using particle filtering.
Proceedings of the 10th International Multi-Conferences on Systems, Signals & Devices, 2013

States and parameters estimation in induction motor using Bayesian techniques.
Proceedings of the 10th International Multi-Conferences on Systems, Signals & Devices, 2013

2012
Fuzzy Intervention in Biological Phenomena.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Multiscale Denoising of Biological Data: A Comparative Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Inferring Gene Regulatory Networks via Nonlinear State-Space Models and Exploiting Sparsity.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Optimal reference sequence selection for genome assembly using minimum description length principle.
EURASIP J. Bioinform. Syst. Biol., 2012

Intervention in Biological Phenomena via Feedback Linearization.
Adv. Bioinformatics, 2012

Robust routing for target tracking in quantized sensor networks.
Proceedings of the 8th International Wireless Communications and Mobile Computing Conference, 2012

Inferring gene regulatory networks with nonlinear models via exploiting sparsity.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

MiB: A comparative assembly processing pipeline.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

Information theoretic methods for modeling of gene regulatory networks.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

A measurement based approach for linear circuit modeling and design.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Wavelet-based Multiscale Filtering of Genomic Data.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

Output-feedback model predictive control of biological phenomena modeled by S-systems.
Proceedings of the American Control Conference, 2012

Joint distributed parameter and channel estimation in wireless sensor networks via variational inference.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Intervention in Biological Phenomena Modeled by S-Systems.
IEEE Trans. Biomed. Eng., 2011

Genetic Algorithm Optimization for Quantized Target Tracking in Wireless Sensor Networks.
Proceedings of the Global Communications Conference, 2011

A cubature Kalman filter approach for inferring gene regulatory networks using time series data.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Parameter estimation of biological phenomena modeled by S-systems: An Extended Kalman filter approach.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Intervention in biological phenomena modeled by S-systems: A model predictive control approach.
Proceedings of the American Control Conference, 2011

2010
On Clock Offset Estimation in Wireless Sensor Networks with Weibull Distributed Network Delays.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Feedback stabilizability of infinite dimensional neutral systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
On the admissibility of control operators for perturbed semigroups and application to time-delay systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

The PI-Controller for infinite dimensional linear systems in Banach state spaces.
Proceedings of the American Control Conference, 2009

2008
Resilient adaptive control of uncertain time-delay systems - a delay-dependent approach.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Robust adaptive sliding-mode control for continuous time-delay systems.
IMA J. Math. Control. Inf., 2007

Analysis and synthesis of uncertain switched discrete-time systems.
IMA J. Math. Control. Inf., 2007

Improving the prediction and parsimony of ARX models using multiscale estimation.
Appl. Soft Comput., 2007

Multiscale nonlinear system identification.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Resilient delay-dependent adaptive control of uncertain time-delay systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Multiscale fuzzy Kalman filtering.
Eng. Appl. Artif. Intell., 2006

Multiscale finite impulse response modeling.
Eng. Appl. Artif. Intell., 2006

Enhanced State Estimation using Multiscale Kalman Filtering.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Multiscale ARX Process Modeling.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Dealing with Collinearity in FIR models using Multiscale Estimation.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Enhanced prediction accuracy of fuzzy models using multiscale estimation.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Empirical Bayesian finite impulse response modeling.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2001
Improving principal component analysis using Bayesian estimation.
Proceedings of the American Control Conference, 2001


  Loading...