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ORCIDRyad A. Zemouri
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2020 – today
- 2024
[j11]Adaiton Oliveira-Filho
, Ryad Zemouri, Francis Pelletier, Antoine Tahan:
System Condition Monitoring Based on a Standardized Latent Space and the Nataf Transform. IEEE Access 12: 32637-32659 (2024)- [j10]Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan:
Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models. Expert Syst. Appl. 255: 124603 (2024) - [c6]Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan:
Bridging expert knowledge and sensor measurements for machine fault quantification with large language models. AIM 2024: 530-535 - 2023
- [j9]Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan:
Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators. Comput. Ind. 151: 103983 (2023) - [j8]Ryad Zemouri, Rony Ibrahim, Antoine Tahan:
Hydrogenerator early fault detection: Sparse Dictionary Learning jointly with the Variational Autoencoder. Eng. Appl. Artif. Intell. 120: 105859 (2023) - [j7]Antoine Proteau, Antoine Tahan, Ryad Zemouri, Marc Thomas:
Predicting the quality of a machined workpiece with a variational autoencoder approach. J. Intell. Manuf. 34(2): 719-737 (2023) - 2021
- [c5]Olivier Kokoko, Claude Hudon, Mélanie Lévesque, Normand Amyot, Ryad A. Zemouri:
Comparison of an Automatic Classification of Partial Dischage Patterns for Large Hydrogenerator. ICPHM 2021: 1-6 - 2020
- [j6]Ryad A. Zemouri, Mélanie Lévesque, Normand Amyot, Claude Hudon, Olivier Kokoko, Souheil-Antoine Tahan:
Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators. IEEE Access 8: 5438-5454 (2020) - [j5]Ryad Zemouri:
Semi-Supervised Adversarial Variational Autoencoder. Mach. Learn. Knowl. Extr. 2(3): 361-378 (2020) - [j4]Ryad Zemouri, Nabil Omri, Farhat Fnaiech, Noureddine Zerhouni, Nader Fnaiech:
A new growing pruning deep learning neural network algorithm (GP-DLNN). Neural Comput. Appl. 32(24): 18143-18159 (2020)
2010 – 2019
- 2017
- [c4]Ryad A. Zemouri:
An evolutionary building algorithm for Deep Neural Networks. WSOM 2017: 21-27 - 2012
- [j3]Ryad A. Zemouri, Noureddine Zerhouni:
Autonomous and adaptive procedure for cumulative failure prediction. Neural Comput. Appl. 21(2): 319-331 (2012) - 2010
- [j2]Ryad A. Zemouri, Rafael Gouriveau, Noureddine Zerhouni:
Defining and applying prediction performance metrics on a recurrent NARX time series model. Neurocomputing 73(13-15): 2506-2521 (2010)
2000 – 2009
- 2009
- [c3]Eugenia Minca, Ryad Zemouri, Florin Dragomir, Otilia Elena Dragomir:
Hierarchical systems monitoring using Recurrent Synchronized Fuzzy Petri Nets. ECC 2009: 4775-4779 - 2002
- [j1]Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni:
Réseaux de neurones récurrents à fonctions de base radiales: RRFR Application au pronostic. Rev. d'Intelligence Artif. 16(3): 307-338 (2002) - 2001
- [c2]Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni:
The RRBF. Dynamic representation of time in radial basis function network. ETFA (2) 2001: 737-740 - [c1]Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni:
A Petri net Graphic Method of Reduction Using Birth-death Processes. ICRA 2001: 46-51
Coauthor Index
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