Ryad A. Zemouri

According to our database, Ryad A. Zemouri authored at least 17 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models.

Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan

Expert Syst. Appl., 2024

System Condition Monitoring Based on a Standardized Latent Space and the Nataf Transform.

Adaiton Oliveira-Filho, Ryad Zemouri, Francis Pelletier, Antoine Tahan

IEEE Access, 2024

Bridging expert knowledge and sensor measurements for machine fault quantification with large language models.

Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023

Fault detection and diagnostics in the context of sparse multimodal data and expert knowledge assistance: Application to hydrogenerators.

Sagar Jose, Khanh T. P. Nguyen, Kamal Medjaher, Ryad Zemouri, Mélanie Lévesque, Antoine Tahan

Comput. Ind., October, 2023

Hydrogenerator early fault detection: Sparse Dictionary Learning jointly with the Variational Autoencoder.

Ryad Zemouri, Rony Ibrahim, Antoine Tahan

Eng. Appl. Artif. Intell., April, 2023

Predicting the quality of a machined workpiece with a variational autoencoder approach.

Antoine Proteau, Antoine Tahan, Ryad Zemouri, Marc Thomas

J. Intell. Manuf., February, 2023

2021

Comparison of an Automatic Classification of Partial Dischage Patterns for Large Hydrogenerator.

Olivier Kokoko, Claude Hudon, Mélanie Lévesque, Normand Amyot, Ryad A. Zemouri

Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

2020

A new growing pruning deep learning neural network algorithm (GP-DLNN).

Ryad Zemouri, Nabil Omri, Farhat Fnaiech, Noureddine Zerhouni, Nader Fnaiech

Neural Comput. Appl., 2020

Semi-Supervised Adversarial Variational Autoencoder.

Ryad Zemouri

Mach. Learn. Knowl. Extr., 2020

Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators.

Ryad A. Zemouri, Mélanie Lévesque, Normand Amyot, Claude Hudon, Olivier Kokoko, Souheil-Antoine Tahan

IEEE Access, 2020

2017

An evolutionary building algorithm for Deep Neural Networks.

Ryad A. Zemouri

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

2012

Autonomous and adaptive procedure for cumulative failure prediction.

Ryad A. Zemouri, Noureddine Zerhouni

Neural Comput. Appl., 2012

2010

Defining and applying prediction performance metrics on a recurrent NARX time series model.

Ryad A. Zemouri, Rafael Gouriveau, Noureddine Zerhouni

Neurocomputing, 2010

2009

Hierarchical systems monitoring using Recurrent Synchronized Fuzzy Petri Nets.

Eugenia Minca, Ryad Zemouri, Florin Dragomir, Otilia Elena Dragomir

Proceedings of the 10th European Control Conference, 2009

2002

Réseaux de neurones récurrents à fonctions de base radiales: RRFR Application au pronostic.

Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni

Rev. d'Intelligence Artif., 2002

2001

A Petri net Graphic Method of Reduction Using Birth-death Processes.

Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni

Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

The RRBF. Dynamic representation of time in radial basis function network.

Ryad A. Zemouri, Daniel Racoceanu, Noureddine Zerhouni

Proceedings of 8th IEEE International Conference on Emerging Technologies and Factory Automation, 2001