Moamar Sayed Mouchaweh
Orcid: 0000-0002-6929-986XAffiliations:
- École des Mines de Douai, France
According to our database1,
Moamar Sayed Mouchaweh
authored at least 75 papers
between 2002 and 2023.
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Bibliography
2023
Decentralized fault-tolerant controller based on cooperative smart-wireless sensors in large-scale buildings.
J. Netw. Comput. Appl., May, 2023
Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Faults explanation based on a machine learning model for predictive maintenance purposes.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023
Proceedings of the 9th International Conference on Control, 2023
2022
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022
Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
J. Signal Process. Syst., 2021
Unsupervised Bayesian Non Parametric approach for Non-Intrusive Load Monitoring based on time of usage.
Neurocomputing, 2021
2020
Neural Comput. Appl., 2020
Neurocomputing, 2020
Neural networks for online learning of non-stationary data streams: a review and application for smart grids flexibility improvement.
Artif. Intell. Rev., 2020
Adaptive Data-driven Approach for the Remaining Useful Life Estimation when Few Historical Degradation Sequences are Available.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Neural Networks, 2018
Evol. Syst., 2018
Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management.
Appl. Soft Comput., 2018
Proceedings of the ECML PKDD 2018 Workshops, 2018
Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments.
Evol. Syst., 2017
Hybrid Self Adaptive Learning Scheme for Simple and Multiple Drift-like Fault Diagnosis in Wind Turbine Pitch Sensors.
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017
2016
Hybrid dynamic classifier for drift-like fault diagnosis in a class of hybrid dynamic systems: Application to wind turbine converters.
Neurocomputing, 2016
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016
A Review on Machine Learning and Data Mining Techniques for Residential Energy Smart Management.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2015
Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach.
Inf. Sci., 2015
Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems.
Int. J. Control, 2015
Evol. Syst., 2015
Cogn. Comput., 2015
An overview on fault diagnosis and nature-inspired optimal control of industrial process applications.
Comput. Ind., 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015
2014
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4614-0031-8, 2014
Dynamic supervised classification method for online monitoring in non-stationary environments.
Neurocomputing, 2014
Appl. Soft Comput., 2014
Proceedings of the 22nd Mediterranean Conference on Control and Automation, 2014
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
Decentralized Diagnosis and Diagnosability of a Class of Hybrid Dynamic Systems.
Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Vienna, Austria, 1, 2014
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014
2013
Proceedings of 10th IEEE International Conference on Networking, Sensing and Control, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
2012
A clustering-based approach for the identification of a class of temporally switched linear systems.
Pattern Recognit. Lett., 2012
Decentralized Fault Free Model Approach for Fault Detection and Isolation of Discrete Event Systems.
Eur. J. Control, 2012
Proceedings of the 11th International Workshop on Discrete Event Systems, 2012
Drift Detection and Characterization for Fault Diagnosis and Prognosis of Dynamical Systems.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011
Proceedings of the IEEE Conference on Automation Science and Engineering, 2011
2010
Fuzzy Sets Syst., 2010
A semi-supervised dynamic version of Fuzzy K-Nearest Neighbours to monitor evolving systems.
Evol. Syst., 2010
Learning in Dynamic Environments: Application to the Identification of Hybrid Dynamic Systems.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
A Hybrid Multi-classifier to Characterize and Interpret Hemiparetic Patients Gait Coordination.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
Switched Hybrid Dynamic Systems identification based on pattern recognition approach.
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Proceedings of the 10th European Control Conference, 2009
2007
Proceedings of the 10th IFAC/IFIP/IFORS/IEA Symposium on Analysis, 2007
Decentralized approach for fault diagnosis of discrete event systems.
Proceedings of the ICINCO 2007, 2007
New results on diagnosis by fuzzy pattern recognition.
Proceedings of the ICINCO 2007, 2007
2006
Proceedings of the Information Technology For Balanced Manufacturing Systems, 2006
2005
Detectability and diagnosability of discrete event systems - application on manufacturing systemsdo.
Proceedings of the ICINCO 2005, 2005
2004
Int. J. Approx. Reason., 2004
Fuzzy pattern matching with adaptive bin width histograms to maximize classification performances.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
2002
Conception d'un système de diagnostic adaptatif et prédictif basé sur la méthode Fuzzy Pattern Matching pour la surveillance en ligne des systèmes évolutifs.
PhD thesis, 2002
Rev. d'Intelligence Artif., 2002
Math. Comput. Simul., 2002