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Moamar Sayed Mouchaweh
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- affiliation: École des Mines de Douai, France
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2020 – today
- 2024
- [j30]Lala H. Rajaoarisoa, Michal Kuk, Szymon Bobek, Moamar Sayed Mouchaweh:
Hybrid and co-learning approach for anomalies prediction and explanation of wind turbine systems. Eng. Appl. Artif. Intell. 133: 108046 (2024) - [j29]Aymen Harrouz, Hajer Salem, Houari Toubakh, Mohamed Redouane Kafi, Moamar Sayed Mouchaweh:
Fault prognosis of subsurface safety valve system with limited real data using self-adaptive neural network. Evol. Syst. 15(3): 899-917 (2024) - [c45]Abdelaziz Bouzidi, Luka Claeys, Raubertin Randrianandraina, Lala H. Rajaoarisoa, Hazem Wannous, Moamar Sayed Mouchaweh:
Deep learning for a customised head-mounted fault display system for the maintenance of wind turbines. ICCAD 2024: 1-6 - 2023
- [j28]Lala H. Rajaoarisoa, Nacer Kouider M'Sirdi, Moamar Sayed Mouchaweh, Laurent Clavier:
Decentralized fault-tolerant controller based on cooperative smart-wireless sensors in large-scale buildings. J. Netw. Comput. Appl. 214: 103605 (2023) - [c44]Hicham Henna, Elhadi Gasmi, Houari Toubakh, Mohamed Redouane Kafi, Mohamed Djemai, Moamar Sayed Mouchaweh:
Fault Tolerant Attitude Estimation for Satellite at Low Earth Orbit*. CoDIT 2023: 275-280 - [c43]Jonathan Jeremie Randriarison, Lala H. Rajaoarisoa, Moamar Sayed Mouchaweh:
Faults explanation based on a machine learning model for predictive maintenance purposes. ICCAD 2023: 1-6 - [c42]Raubertin Randrianandraina, Julien Chapuy, Lala H. Rajaoarisoa, Moamar Sayed Mouchaweh:
Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach. ICMLA 2023: 1574-1581 - [i2]Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama:
Explainable Predictive Maintenance. CoRR abs/2306.05120 (2023) - 2022
- [c41]Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa:
Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0. ICMLA 2022: 1492-1497 - [c40]Lala H. Rajaoarisoa, Mohammed-Hichem Benzaama, Nacer K. M'Sirdi, Laurent Clavier, Moamar Sayed Mouchaweh:
Switching predictive controller for building optimal thermal comfort. MED 2022: 127-132 - 2021
- [j27]Hajer Salem, Moamar Sayed Mouchaweh, Moncef Tagina:
Unsupervised Bayesian Non Parametric approach for Non-Intrusive Load Monitoring based on time of usage. Neurocomputing 435: 239-252 (2021) - [j26]Hassane Hotait, Xavier Chiementin, Moamar Sayed Mouchaweh, Lanto Rasolofondraibe:
Monitoring of Ball Bearing Based on Improved Real-Time OPTICS Clustering. J. Signal Process. Syst. 93(2-3): 221-237 (2021) - 2020
- [j25]Zeineb Hammami, Moamar Sayed Mouchaweh, Wiem Mouelhi, Lamjed Ben Said:
Neural networks for online learning of non-stationary data streams: a review and application for smart grids flexibility improvement. Artif. Intell. Rev. 53(8): 6111-6154 (2020) - [j24]Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia:
Online active learning for human activity recognition from sensory data streams. Neurocomputing 390: 341-358 (2020) - [j23]Gerasimos G. Rigatos, Pierluigi Siano, Moamar Sayed Mouchaweh:
Adaptive neurofuzzy H-infinity control of DC-DC voltage converters. Neural Comput. Appl. 32(7): 2507-2520 (2020) - [c39]Koceila Abid, Moamar Sayed Mouchaweh, Laurence Cornez:
Adaptive Data-driven Approach for the Remaining Useful Life Estimation when Few Historical Degradation Sequences are Available. ICMLA 2020: 1145-1152 - [e5]João Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed Mouchaweh, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott:
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers. Communications in Computer and Information Science 1325, Springer 2020, ISBN 978-3-030-66769-6 [contents]
2010 – 2019
- 2019
- [c38]Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh:
Asynchronous Stochastic Variational Inference. INNSBDDL 2019: 296-308 - [c37]Hajer Salem, Moamar Sayed Mouchaweh:
A Semi-supervised and Online Learning Approach for Non-Intrusive Load Monitoring. ECML/PKDD (3) 2019: 585-601 - [e4]Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro:
ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. Communications in Computer and Information Science 967, Springer 2019, ISBN 978-3-030-14879-9 [contents] - 2018
- [j22]Mahardhika Pratama, Edwin Lughofer, Suresh Sundaram, Moamar Sayed Mouchaweh, Igor Skrjanc, Fahed Mostafa:
Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management. Appl. Soft Comput. 72: 552-554 (2018) - [j21]Imen Khamassi, Moamar Sayed Mouchaweh, Moez Hammami, Khaled Ghédira:
Discussion and review on evolving data streams and concept drift adapting. Evol. Syst. 9(1): 1-23 (2018) - [j20]Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia:
Active learning for classifying data streams with unknown number of classes. Neural Networks 98: 1-15 (2018) - [j19]Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh:
A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29(1): 74-86 (2018) - [c36]Zeineb Hammami, Moamar Sayed Mouchaweh, Wiem Mouelhi, Lamjed Ben Said:
Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources. ICMLA 2018: 1304-1309 - [c35]Koceila Abid, Moamar Sayed Mouchaweh, Laurence Cornez:
Fault Prognostics for the Predictive Maintenance of Wind Turbines: State of the Art. DMLE/IOTSTREAMING@PKDD/ECML 2018: 113-125 - [e3]M. Arif Wani, Mehmed M. Kantardzic, Moamar Sayed Mouchaweh, João Gama, Edwin Lughofer:
17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018. IEEE 2018, ISBN 978-1-5386-6805-4 [contents] - [e2]Moamar Sayed Mouchaweh, Hamid Bouchachia, João Gama, Rita Paula Ribeiro:
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), Riva del Garda, Italy, September 23, 2016. CEUR Workshop Proceedings 2069, CEUR-WS.org 2018 [contents] - [i1]Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh:
Asynchronous Stochastic Variational Inference. CoRR abs/1801.04289 (2018) - 2017
- [j18]Anthony Fleury, Edwin Lughofer, Moamar Sayed Mouchaweh:
Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments. Evol. Syst. 8(4): 317-319 (2017) - [c34]Imen Khamassi, Moamar Sayed Mouchaweh:
Self-Adaptive Ensemble Classifier for Handling Complex Concept Drift. IOTSTREAMING@PKDD/ECML 2017 - [c33]Houari Toubakh, Moamar Sayed Mouchaweh:
Hybrid Self Adaptive Learning Scheme for Simple and Multiple Drift-like Fault Diagnosis in Wind Turbine Pitch Sensors. IOTSTREAMING@PKDD/ECML 2017 - [e1]Moamar Sayed Mouchaweh, Albert Bifet, Hamid Bouchachia, João Gama, Rita Paula Ribeiro:
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), Skopje, Macedonia, September 18-22, 2017. CEUR Workshop Proceedings 1958, CEUR-WS.org 2017 [contents] - 2016
- [j17]Houari Toubakh, Moamar Sayed Mouchaweh:
Hybrid dynamic classifier for drift-like fault diagnosis in a class of hybrid dynamic systems: Application to wind turbine converters. Neurocomputing 171: 1496-1516 (2016) - [c32]Hajer Salem, Moamar Sayed Mouchaweh, Ahlem Ben Hassine:
A Review on Machine Learning and Data Mining Techniques for Residential Energy Smart Management. ICMLA 2016: 1073-1076 - [c31]Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia:
Active Learning for Data Streams Under Concept Drift and Concept Evolution. STREAMEVOLV@ECML-PKDD 2016 - 2015
- [j16]Radu-Emil Precup, Plamen Angelov, Bruno Sielly Jales Costa, Moamar Sayed Mouchaweh:
An overview on fault diagnosis and nature-inspired optimal control of industrial process applications. Comput. Ind. 74: 75-94 (2015) - [j15]Imen Khamassi, Moamar Sayed Mouchaweh, Moez Hammami, Khaled Ghédira:
Self-Adaptive Windowing Approach for Handling Complex Concept Drift. Cogn. Comput. 7(6): 772-790 (2015) - [j14]Edwin Lughofer, Moamar Sayed Mouchaweh:
Adaptive and on-line learning in non-stationary environments. Evol. Syst. 6(2): 75-77 (2015) - [j13]Houari Toubakh, Moamar Sayed Mouchaweh:
Hybrid dynamic data-driven approach for drift-like fault detection in wind turbines. Evol. Syst. 6(2): 115-129 (2015) - [j12]Moamar Sayed Mouchaweh, Edwin Lughofer:
Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems. Int. J. Control 88(11): 2228-2241 (2015) - [j11]Edwin Lughofer, Moamar Sayed Mouchaweh:
Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach. Inf. Sci. 304: 54-79 (2015) - [c30]Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh:
A non-parametric hierarchical clustering model. EAIS 2015: 1-7 - [c29]Moamar Sayed Mouchaweh, Anthony Fleury, Plamen Angelov, Edwin Lughofer, José Antonio Iglesias:
Preface. EAIS 2015: 1-2 - [c28]Moamar Sayed Mouchaweh:
Adaptive Modular Approach for Online Fault Diagnosis of Discrete Event Systems. ICMLA 2015: 923-928 - 2014
- [b2]Moamar Sayed Mouchaweh:
Discrete Event Systems - Diagnosis and Diagnosability. Springer Briefs in Electrical and Computer Engineering, Springer 2014, ISBN 978-1-4614-0030-1, pp. 1-69 - [j10]Abdelhamid Bouchachia, Edwin Lughofer, Moamar Sayed Mouchaweh:
Special Issue: Evolving Soft Computing Techniques and Applications. Appl. Soft Comput. 14: 141-143 (2014) - [j9]Laurent Hartert, Moamar Sayed Mouchaweh:
Dynamic supervised classification method for online monitoring in non-stationary environments. Neurocomputing 126: 118-131 (2014) - [c27]Imen Khamassi, Moamar Sayed Mouchaweh:
Drift detection and monitoring in non-stationary environments. EAIS 2014: 1-6 - [c26]Louajri H., Moamar Sayed Mouchaweh:
Decentralized Diagnosis and Diagnosability of a Class of Hybrid Dynamic Systems. ICINCO (2) 2014: 708-715 - [c25]Adel Aloraini, Moamar Sayed Mouchaweh:
Graphical Model Based Approach for Fault Diagnosis of Wind Turbines. ICMLA 2014: 614-619 - [c24]H. Louajri, Moamar Sayed Mouchaweh:
Decentralized structure for fault diagnosis of a class of hybrid dynamic systems. MED 2014: 121-126 - 2013
- [c23]Houari Toubakh, Moamar Sayed Mouchaweh, Eric Duviella:
Advanced Pattern Recognition Approach for Fault Diagnosis of Wind Turbines. ICMLA (2) 2013: 368-373 - [c22]Eric Duviella, Laurent Bako, Moamar Sayed Mouchaweh, Joaquim Blesa, Yolanda Bolea, Vicenç Puig, Karine Chuquet:
Inland navigation channel model: Application to the Cuinchy-Fontinettes reach. ICNSC 2013: 164-169 - 2012
- [j8]Moamar Sayed Mouchaweh:
Decentralized Fault Free Model Approach for Fault Detection and Isolation of Discrete Event Systems. Eur. J. Control 18(1): 82-93 (2012) - [j7]Moamar Sayed Mouchaweh, Nadhir Messai:
A clustering-based approach for the identification of a class of temporally switched linear systems. Pattern Recognit. Lett. 33(2): 144-151 (2012) - [c21]Moamar Sayed Mouchaweh, Patrice Billaudel:
Abrupt and Drift-Like Fault Diagnosis of Concurent Discrete Event Systems. ICMLA (2) 2012: 434-439 - [c20]Antoine Chammas, Moamar Sayed Mouchaweh, Eric Duviella, Stéphane Lecoeuche:
Drift Detection and Characterization for Fault Diagnosis and Prognosis of Dynamical Systems. SUM 2012: 113-126 - [c19]Janan Zaytoon, Moamar Sayed Mouchaweh:
Discussion on fault diagnosis methods of discrete event systems. WODES 2012: 9-12 - 2011
- [c18]Noureddine Malki, Moamar Sayed Mouchaweh:
Boolean temporal model-based approach for the diagnosis of Discrete Event Systems. CASE 2011: 175-180 - [c17]Sofiane Mazeghrane, Laurent Hartert, Moamar Sayed Mouchaweh:
Dynamic pattern recognition for the diagnosis of evolving systems. EAIS 2011: 124-130 - [c16]Moamar Sayed Mouchaweh, Omar Ayad, Noureddine Malki:
Learning in dynamic environments: application to the diagnosis of evolving systems. EUSFLAT Conf. 2011: 396-401 - [c15]Omar Ayad, Moamar Sayed Mouchaweh, Patrice Billaudel:
Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier System. ICANN (2) 2011: 165-172 - [c14]Moamar Sayed Mouchaweh, Janan Zaytoon, Patrice Billaudel:
Adaptive Time Window Size to Track Concept Drift. ICMLA (2) 2011: 41-46 - 2010
- [j6]Laurent Hartert, Moamar Sayed Mouchaweh, Patrice Billaudel:
A semi-supervised dynamic version of Fuzzy K-Nearest Neighbours to monitor evolving systems. Evol. Syst. 1(1): 3-15 (2010) - [j5]Moamar Sayed Mouchaweh:
Semi-supervised classification method for dynamic applications. Fuzzy Sets Syst. 161(4): 544-563 (2010) - [c13]Omar Ayad, Moamar Sayed Mouchaweh, Patrice Billaudel:
Switched Hybrid Dynamic Systems identification based on pattern recognition approach. FUZZ-IEEE 2010: 1-7 - [c12]Laurent Hartert, Moamar Sayed Mouchaweh, Patrice Billaudel:
Dynamic K-Nearest Neighbors for the monitoring of evolving systems. FUZZ-IEEE 2010: 1-7 - [c11]Moamar Sayed Mouchaweh:
Learning in Dynamic Environments: Application to the Identification of Hybrid Dynamic Systems. ICMLA 2010: 555-560 - [c10]Laurent Hartert, Moamar Sayed Mouchaweh:
A Hybrid Multi-classifier to Characterize and Interpret Hemiparetic Patients Gait Coordination. ICMLA 2010: 580-585
2000 – 2009
- 2009
- [c9]Alexandre Philippot, Moamar Sayed Mouchaweh, Véronique Carré-Ménétrier:
Distributed modeling approach of discrete manufacturing systems by Parts of Plant. ECC 2009: 4493-4498 - [c8]Laurent Hartert, Moamar Sayed Mouchaweh, Patrice Billaudel:
A Dynamic Classification Method for the Discrimination of Evolving Data. IFSA/EUSFLAT Conf. 2009: 1015-1020 - [c7]Moamar Sayed Mouchaweh, Bernard Riera:
Incremental Possibilistic Approach for Online Clustering and Classification. IFSA/EUSFLAT Conf. 2009: 1845-1850 - 2007
- [c6]Moamar Sayed Mouchaweh, Alexandre Philippot, Véronique Carré-Ménétrier:
Decentralized approach for fault diagnosis of discrete event systems. ICINCO-SPSMC 2007: 124-129 - [c5]Mohamed Saïd Bouguelid, Moamar Sayed Mouchaweh, Patrice Billaudel:
New results on diagnosis by fuzzy pattern recognition. ICINCO-ICSO 2007: 167-172 - [c4]Mohamed Saïd Bouguelid, Moamar Sayed Mouchaweh, Patrice Billaudel, Bernard Riera:
Hybrid pattern recognition method to diagnose dynamic systems. IFAC HMS 2007: 51-56 - 2006
- [c3]Moamar Sayed Mouchaweh, Alexandre Philippot, Véronique Carré-Ménétrier, Bernard Riera:
Timed-Event-State-Based Diagnoser for Manufacturing Systems. BASYS 2006: 415-424 - 2005
- [c2]Moamar Sayed Mouchaweh, Alexandre Philippot, Véronique Carré-Ménétrier:
Detectability and diagnosability of discrete event systems - application on manufacturing systemsdo. ICINCO 2005: 149-154 - 2004
- [j4]Arnaud Devillez, Moamar Sayed Mouchaweh, Patrice Billaudel:
A process monitoring module based on fuzzy logic and pattern recognition. Int. J. Approx. Reason. 37(1): 43-70 (2004) - [c1]Moamar Sayed Mouchaweh, Patrice Billaudel, Bernard Riera:
Fuzzy pattern matching with adaptive bin width histograms to maximize classification performances. FUZZ-IEEE 2004: 251-256 - 2002
- [b1]Moamar Sayed Mouchaweh:
Conception d'un système de diagnostic adaptatif et prédictif basé sur la méthode Fuzzy Pattern Matching pour la surveillance en ligne des systèmes évolutifs. University of Reims Champagne-Ardenne, France, 2002 - [j3]Moamar Sayed Mouchaweh, Arnaud Devillez, Gérard Villermain Lecolier, Patrice Billaudel:
Incremental learning in Fuzzy Pattern Matching. Fuzzy Sets Syst. 132(1): 49-62 (2002) - [j2]Moamar Sayed Mouchaweh, Arnaud Devillez, Gérard Villermain Lecolier, Patrice Billaudel:
Recursive learning in real time using fuzzy pattern matching. Math. Comput. Simul. 60(3-5): 209-216 (2002) - [j1]Moamar Sayed Mouchaweh, Patrice Billaudel, Gérard Villermain Lecolier:
Elimination du bruit et détection des zones de haute densité. Rev. d'Intelligence Artif. 16(3): 279-306 (2002)
Coauthor Index
aka: Hamid Bouchachia
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last updated on 2024-10-07 22:07 CEST by the dblp team
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