Noureddine Zerhouni
Orcid: 0000-0002-8847-3202
According to our database1,
Noureddine Zerhouni
authored at least 129 papers
between 1990 and 2025.
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Bibliography
2025
NM-USNet: A novel generative model for parathyroid glands detection in nuclear medicine.
Biomed. Signal Process. Control., 2025
2024
A Smart LSTM for Industrial Part Conformity: SME Material-Data Based Decision-Making.
Autom. Control. Comput. Sci., December, 2024
A data quality management framework for equipment failure risk estimation: Application to the oil and gas industry.
Eng. Appl. Artif. Intell., 2024
CoRR, 2024
Collaborative and integrated data-driven delay prediction and supplier selection optimization: A case study in a furniture industry.
Comput. Ind. Eng., 2024
A Methodology for Reliability Analysis of Explainable Machine Learning: Application to Endocrinology Diseases.
IEEE Access, 2024
IEEE Access, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
An Explainable AI Approach for Breast Cancer Metastasis Prediction Based on Clinicopathological Data.
IEEE Trans. Biomed. Eng., December, 2023
RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier.
IEEE Trans. Reliab., March, 2023
2022
CoRR, 2022
A Survey of Breast Cancer Screening Techniques: Thermography and Electrical Impedance Tomography.
CoRR, 2022
Autom. Control. Comput. Sci., 2022
IoT Based Prediction of Active and Passive Earth Pressure Coefficients Using Artificial Neural Networks.
Proceedings of the Networked Systems - 10th International Conference, 2022
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
Detection and Diagnostics of Combined Bearing and Gear Faults Using Electrical Health Indicator.
Proceedings of the 8th International Conference on Control, 2022
2021
Computer-Aided Diagnosis for Spitzoid Lesions Classification Using Artificial Intelligence Techniques.
Int. J. Heal. Inf. Syst. Informatics, 2021
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications.
Comput. Ind., 2021
Autom. Control. Comput. Sci., 2021
Proceedings of the Intelligent Computing, 2021
2020
Machine Health Indicator Construction Framework for Failure Diagnostics and Prognostics.
J. Signal Process. Syst., 2020
Neural Comput. Appl., 2020
2019
Health-Conscious Energy Management for Fuel Cell Hybrid Electric Vehicles Based on Prognostics-Enabled Decision-Making.
IEEE Trans. Veh. Technol., 2019
Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment.
IEEE Trans. Instrum. Meas., 2019
Feature selection and fault-severity classification-based machine health assessment methodology for point machine sliding-chair degradation.
Qual. Reliab. Eng. Int., 2019
Proceedings of the Intelligent Systems and Applications, 2019
A New Adaptive Prognostic Strategy Based on Online Future Evaluation and Extended Kalman Filtering.
Proceedings of the 6th International Conference on Control, 2019
2018
Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model.
J. Intell. Manuf., 2018
2017
IEEE Trans. Ind. Electron., 2017
ANOVA method applied to proton exchange membrane fuel cell ageing forecasting using an echo state network.
Math. Comput. Simul., 2017
Random Forests for Industrial Device Functioning Diagnostics Using Wireless Sensor Networks.
CoRR, 2017
CoRR, 2017
Bearings Prognostics based on Blind Sources Separation and Robust Correlation Analysis.
Proceedings of the 14th International Conference on Informatics in Control, 2017
Proceedings of the 4th International Conference on Control, 2017
The performance measure of a data driven prognostic system: Application to an aircraft engine.
Proceedings of the 4th International Conference on Control, 2017
2016
Joint Particle Filters Prognostics for Proton Exchange Membrane Fuel Cell Power Prediction at Constant Current Solicitation.
IEEE Trans. Reliab., 2016
Degradations analysis and aging modeling for health assessment and prognostics of PEMFC.
Reliab. Eng. Syst. Saf., 2016
Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction.
J. Intell. Manuf., 2016
CoRR, 2016
Resiliency in Distributed Sensor Networks for Prognostics and Health Management of the Monitoring Targets.
Comput. J., 2016
PEM fuel cell prognostics under variable load: A data-driven ensemble with new incremental learning.
Proceedings of the International Conference on Control, 2016
Proceedings of the 4th IEEE International Colloquium on Information Science and Technology, 2016
2015
Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression.
IEEE Trans. Instrum. Meas., 2015
Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics.
IEEE Trans. Ind. Electron., 2015
A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering.
IEEE Trans. Cybern., 2015
Reliab. Eng. Syst. Saf., 2015
Knowl. Based Syst., 2015
Health assessment and life prediction of cutting tools based on support vector regression.
J. Intell. Manuf., 2015
Dependability of wireless sensor networks for industrial prognostics and health management.
Comput. Ind., 2015
Parametric sensitivity analysis of a PEMFC physics-based model developed for prognostics.
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015
Accelerated lifetime tests and failure analysis of an electro-thermally actuated MEMS valve.
Proceedings of the 27th International Conference on Microelectronics, 2015
Improving accuracy of long-term prognostics of PEMFC stack to estimate remaining useful life.
Proceedings of the IEEE International Conference on Industrial Technology, 2015
2014
Microelectron. Reliab., 2014
Knowl. Based Syst., 2014
SW-ELM: A summation wavelet extreme learning machine algorithm with a priori parameter initialization.
Neurocomputing, 2014
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
2013
Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions.
IEEE Trans. Cybern., 2013
Eng. Appl. Artif. Intell., 2013
Remaining useful life estimation based on nonlinear feature reduction and support vector regression.
Eng. Appl. Artif. Intell., 2013
Proceedings of the IECON 2013, 2013
Data-driven prognostics based on health indicator construction: Application to PRONOSTIA's data.
Proceedings of the 12th European Control Conference, 2013
2012
A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models.
IEEE Trans. Reliab., 2012
Remaining Useful Life Estimation of Critical Components With Application to Bearings.
IEEE Trans. Reliab., 2012
IEEE Trans. Reliab., 2012
Neural Comput. Appl., 2012
Evidential evolving Gustafson-Kessel algorithm for online data streams partitioning using belief function theory.
Int. J. Approx. Reason., 2012
New Hopfield Neural Network for joint Job Shop Scheduling of production and maintenance.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012
Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2012
Proceedings of the Belief Functions: Theory and Applications, 2012
2011
Reducing arbitrary choices in model building for prognostics: An approach by applying parsimony principle on an evolving neuro-fuzzy system.
Microelectron. Reliab., 2011
Joint scheduling of jobs and Preventive Maintenance operations in the flowshop sequencing problem: a resolution with sequential and integrated strategies.
Int. J. Manuf. Res., 2011
Adaptation based on Knowledge Models for Diagnostic Systems using Case-base Reasoning.
Proceedings of the KMIS 2011, 2011
E2GK: Evidential Evolving Gustafsson-Kessel Algorithm for Data Streams Partitioning Using Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011
Evidential Evolving Gustafson-Kessel Algorithm (E2GK) and its application to PRONOSTIA's data streams partitioning.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Feature selection for fault detection systems: Application to the Tennessee Eastman Process.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2011
2010
Defining and applying prediction performance metrics on a recurrent NARX time series model.
Neurocomputing, 2010
Proceedings of the IEEE Conference on Automation Science and Engineering, 2010
2009
Proceedings of the 10th European Control Conference, 2009
2008
Competence-Preserving Case-Deletion Strategy for Case Base Maintenance.
Proceedings of the ECCBR 2008, 2008
Adaptation-Guided Retrieval for a Diagnostic and Repair Help System Dedicated to a Pallets Transfer.
Proceedings of the ECCBR 2008, 2008
2007
J. Softw., 2007
Proceedings of the Mobile Ad-Hoc and Sensor Networks, Third International Conference, 2007
Proceedings of the Sixth International Conference on Networking (ICN 2007), 2007
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007
2006
Comput. Ind., 2006
Comput. Ind., 2006
Proceedings of the IEEE 3rd International Conference on Mobile Adhoc and Sensor Systems, 2006
2005
Utilisation des réseaux de neurones temporels pour le pronostic et la surveillance dynamique. Etude comparative de trois réseaux de neurones récurrents.
Rev. d'Intelligence Artif., 2005
Distributed Cooperative Systems Meta-Model for Maintenance Using Petri Nets and Multi-Agent Systems.
Proceedings of the 1st International Conference on Distributed Frameworks for Multimedia Applications (DFMA 2005), 2005
Proceedings of the CIRA 2005, 2005
2004
Overview on diagnosis methods using artificial intelligence application of fuzzy Petri nets.
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004
2003
Resolution of Joint Maintenance/Production Scheduling by Sequential and Integrated Strategies.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003
Lower bounds and multiobjective evolutionary optimization for combined maintenance and production scheduling in job shop.
Proceedings of 9th IEEE International Conference on Emerging Technologies and Factory Automation, 2003
Proceedings of 9th IEEE International Conference on Emerging Technologies and Factory Automation, 2003
Distributed cooperation modeling for maintenance using Petri nets and multi-agents systems.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003
2002
Réseaux de neurones récurrents à fonctions de base radiales: RRFR Application au pronostic.
Rev. d'Intelligence Artif., 2002
A genetic algorithm and data mining based meta-heuristic for job shop scheduling problem.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002
Modular Modeling and Analysis of a Distributed Production System with Distant Specialised Maintenance.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002
2001
Input-Output Relation and Time-Optimal Control of a Class of Hybrid Petri Nets Using <i>min</i>, +) Semiring.
Discret. Event Dyn. Syst., 2001
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001
Proceedings of 8th IEEE International Conference on Emerging Technologies and Factory Automation, 2001
Proceedings of 8th IEEE International Conference on Emerging Technologies and Factory Automation, 2001
2000
Neural networks implementation for modeling and control design of manufacturing systems.
J. Intell. Manuf., 2000
1999
Some subclasses of Petri nets and the analysis of their structural properties: a new approach.
IEEE Trans. Syst. Man Cybern. Part A, 1999
Proceedings of the Multiple Approaches to Intelligent Systems, 1999
1998
Stabilization and regulation of a class of nonlinear singularly perturbed systems with discretized composite feedback.
Int. J. Syst. Sci., 1998
Int. J. Syst. Sci., 1998
Hierarchical modelling and control of flexible assembly systems using object-oriented Petri nets.
Int. J. Comput. Integr. Manuf., 1998
Cybern. Syst., 1998
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
1997
Cybern. Syst., 1997
Control of discrete event systems modelled by continuous Petri nets: case of opened manufacturing lines.
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997
1996
Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 1996
Discrete Event Closed-Loop Systems in MAX Algebra.
Proceedings of the Modelling and Simulation, 1996
1995
Control of Manufacturing Systems Using Neural Networks.
Proceedings of the EUROSIM'96, 1995
On the Modelling and Simulation of Variable Speed Continuous Petri Nets.
Proceedings of the EUROSIM'96, 1995
1994
Use of an homographic transformation jointly to the singular perturbation for the resolution of Markov chains: application to the operation safety study.
Proceedings of the 1994 International Conference on Robotics and Automation, 1994
1990
Proceedings of the 1990 IEEE International Conference on Robotics and Automation, 1990