Majdi Mansouri

Orcid: 0000-0001-6390-4304

According to our database1, Majdi Mansouri authored at least 117 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fuzzy Logic Adaptive Crow Search Algorithm for MPPT of a Partially Shaded Photovoltaic System.
IEEE Access, 2024

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval.
IEEE Access, 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

Uncertainty Quantification Kernel PCA: Enhancing Fault Detection in Interval-Valued Data.
Proceedings of the 10th International Conference on Control, 2024

Multiscale Kernel PCA for Fault Detection in Autonomous Vehicule.
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

Real-Time Fault Detection Scheme for Industrial Chemical Tennessee Eastman Process.
Proceedings of the 10th International Conference on Control, 2024

Real-Time Fault Detection and Diagnosis Method for Industrial Chemical Tennessee Eastman Process.
Proceedings of the 10th International Conference on Control, 2024

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

Robust Variable Structure Control Approach of Two Series-Connected Five-Phase PMSMs Under Healthy and Faulty Operation Modes.
IEEE Access, 2023

Solar Irradiance Forecasting using Gaussian Process Regression Model.
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023

An Effective Random Forest based Long-Term Wind Power Forecasting Technique.
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023

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 for Fault Detection and Diagnosis: Application to Photovoltaic System.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 2022

Short Time Forecasting for Wind Power Generation Using Artificial Neural Network.
Proceedings of the 19th International Multi-Conference on Systems, Signals & Devices, 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

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

Faults Classification in Grid-Connected Photovoltaic 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

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

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

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

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
New online kernel method with the Tabu search algorithm for process monitoring.
Trans. Inst. Meas. Control, 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

Enhanced Machine Learning Approaches for Diagnosing Building Systems.
Proceedings of the International Conference on Internet of Things, 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

Machine Learning based Reduced Kernel PCA for Nonlinear Process Monitoring.
Proceedings of the International Conference on Internet of Things, 2019

Performance Analysis of D2D-Enabled 5G NR Networks.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

Performance Analysis of 5G NR Synchronization Procedure with Imperfect Channel State Information.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

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

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

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

Fault Diagnosis for Dynamic Nonlinear System Based on Variable Moving Window KPCA.
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

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 in a wastewater treatment plant.
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

Estimation of gait parameter using sonoelastography in children with cerebral palsy.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Bayesian method for states estimation in structural health monitoring application.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2015
An improved particle filtering for time-varying nonlinear prediction of biomass and grain protein content.
Comput. Electron. Agric., 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
Optimal sensor and path selection for target tracking in wireless sensor networks.
Wirel. Commun. Mob. Comput., 2014

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

Parameter identification of the STICS crop model, using an accelerated formal MCMC approach.
Environ. Model. Softw., 2014

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

Predicting Grain Protein Content of Winter Wheat.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 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
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

Crisis management using MAS-based wireless sensor networks.
Comput. Networks, 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
Robust routing for target tracking in quantized sensor networks.
Proceedings of the 8th International Wireless Communications and Mobile Computing Conference, 2012

2011
Traitement du signal collaboratif dans les réseaux de capteurs sans fils. (Collaborative signal processing in wireless sensor networks).
PhD thesis, 2011

Adaptive quantized target tracking in wireless sensor networks.
Wirel. Networks, 2011

Channel estimation and multiple target tracking in wireless sensor networks based on quantised proximity sensors.
IET Wirel. Sens. Syst., 2011

Optimal path selection for quantized target tracking in distributed sensor networks.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

Quantized variational filtering for target tracking and relay localization in sensor networks.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

Secure quantized target tracking in wireless sensor networks.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

WIRS: Resource Reservation and Traffic Regulation for QoS Support in Wireless Mesh Networks.
Proceedings of the Global Communications Conference, 2011

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

2010
A Sensor Selection Method for Target Tracking in Wireless Sensor Networks Using Quantized Variational Filtering.
Proceedings of the 72nd IEEE Vehicular Technology Conference, 2010

Multi-Agent System Based Wireless Sensor Network for Crisis Management.
Proceedings of the Global Communications Conference, 2010

Joint Multiple Target Tracking and Channel Estimation in Wireless Sensor Networks.
Proceedings of the Global Communications Conference, 2010

2009
Image Super-Resolution using a Bayesian approach with a Gauss-Markov-Potts prior.
Proceedings of the 2009 International Conference on Image Processing, 2009


  Loading...