Prof. Moamar Sayed-Mouchaweh
Prof. Moamar Sayed-Mouchaweh
High National Engineering School of Mines
Bestätigte E-Mail-Adresse bei mines-douai.Fr - Startseite
Zitiert von
Zitiert von
Discussion and review on evolving data streams and concept drift adapting
I Khamassi, M Sayed-Mouchaweh, M Hammami, K Ghédira
Evolving systems 9, 1-23, 2018
An overview on fault diagnosis and nature-inspired optimal control of industrial process applications
RE Precup, P Angelov, BSJ Costa, M Sayed-Mouchaweh
Computers in Industry 74, 75-94, 2015
Learning in non-stationary environments: methods and applications
M Sayed-Mouchaweh, E Lughofer
Springer Science & Business Media, 2012
Predictive maintenance in dynamic systems: advanced methods, decision support tools and real-world applications
E Lughofer, M Sayed-Mouchaweh
Springer, 2019
Autonomous data stream clustering implementing split-and-merge concepts–towards a plug-and-play approach
E Lughofer, M Sayed-Mouchaweh
Information Sciences 304, 54-79, 2015
Incremental learning in fuzzy pattern matching
MS Mouchaweh, A Devillez, GV Lecolier, P Billaudel
Fuzzy Sets and Systems 132 (1), 49-62, 2002
Active learning for classifying data streams with unknown number of classes
S Mohamad, M Sayed-Mouchaweh, A Bouchachia
Neural Networks 98, 1-15, 2018
Hybrid dynamic classifier for drift-like fault diagnosis in a class of hybrid dynamic systems: Application to wind turbine converters
H Toubakh, M Sayed-Mouchaweh
Neurocomputing 171, 1496-1516, 2016
A bi-criteria active learning algorithm for dynamic data streams
S Mohamad, A Bouchachia, M Sayed-Mouchaweh
IEEE transactions on neural networks and learning systems 29 (1), 74-86, 2016
Learning in dynamic environments
M Sayed-Mouchaweh, M Sayed-Mouchaweh
Learning from Data Streams in Dynamic Environments, 11-32, 2016
Self-adaptive windowing approach for handling complex concept drift
I Khamassi, M Sayed-Mouchaweh, M Hammami, K Ghédira
Cognitive Computation 7, 772-790, 2015
Hybrid dynamic data-driven approach for drift-like fault detection in wind turbines
H Toubakh, M Sayed-Mouchaweh
Evolving Systems 6 (2), 115-129, 2015
Semi-supervised classification method for dynamic applications
MS Mouchaweh
Fuzzy Sets and Systems 161 (4), 544-563, 2010
Online active learning for human activity recognition from sensory data streams
S Mohamad, M Sayed-Mouchaweh, A Bouchachia
Neurocomputing 390, 341-358, 2020
Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems
M Sayed-Mouchaweh, E Lughofer
International Journal of Control 88 (11), 2228-2241, 2015
A semi-supervised dynamic version of fuzzy k-nearest neighbours to monitor evolving systems
L Hartert, M Sayed Mouchaweh, P Billaudel
Evolving Systems 1, 3-15, 2010
Variable probability-possibility transformation
MS Mouchaweh, MS Bouguelid, P Billaudel, B RiERA
25th European Annual Conference on Human Decision-Making and Manual Control …, 2006
Decentralized diagnosis based on Boolean discrete event models: application on manufacturing systems
M Sayed-Mouchaweh, A Philippot, V Carré-Ménétrier
International journal of production research 46 (19), 5469-5490, 2008
Control of DC–DC converter and DC motor dynamics using differential flatness theory
G Rigatos, P Siano, P Wira, M Sayed-Mouchaweh
Intelligent Industrial Systems 2, 371-380, 2016
Dynamic supervised classification method for online monitoring in non-stationary environments
L Hartert, M Sayed-Mouchaweh
Neurocomputing 126, 118-131, 2014
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