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Reda Ayassi
Reda Ayassi
Research engineer - Huawei Technologies France
telecom-sudparis.eu의 이메일 확인됨
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Survey on the use of machine learning for quality of transmission estimation in optical transport networks
R Ayassi, A Triki, N Crespi, R Minerva, M Laye
Journal of Lightwave Technology 40 (17), 5803-5815, 2022
392022
An overview on machine learning-based solutions to improve lightpath QoT estimation
R Ayassi, A Triki, M Laye, N Crespi, R Minerva, C Catanese
2020 22nd International Conference on Transparent Optical Networks (ICTON), 1-4, 2020
202020
A fully connected neural network approach to mitigate fiber nonlinear effects in 200G DP-16-QAM transmission system
C Catanese, R Ayassi, E Pincemin, Y Jaouën
2020 22nd International Conference on Transparent Optical Networks (ICTON), 1-4, 2020
182020
Machine learning models for alarm classification and failure localization in optical transport networks
J Babbar, A Triki, R Ayassi, M Laye
Journal of Optical Communications and Networking 14 (8), 621-628, 2022
142022
Bayesian optimization-based algorithm to improve the quality of transmission estimation
R Ayassi, A Triki, M Laye, E Le Rouzic, N Crespi, R Minerva
Photonic Networks and Devices, NeF2B. 3, 2021
122021
Field trial to assess Bayesian optimization for improving QoT estimation
R Ayassi, A Triki, B Le Guyader, F Frank, T Marcot, E Le Rouzic, M Laye, ...
49th European Conference on Optical Communications (ECOC 2023) 2023, 389-392, 2023
52023
A Fully Connected Neural Network to Mitigate 200G DP-16-QAM Transmission System Impairments
C Catanese, R Ayassi, E Pincemin, Y Jaouën
Signal Processing in Photonic Communications, SpTh3I. 1, 2020
32020
Field Trial Demonstration of Digital Twin Assisted Network Optimization on a Production Network
R Ayassi, X Yang, Y Pointurier, G Charlet, QT Nguyen, Y El Harraz
2024 International Conference on Optical Network Design and Modeling (ONDM), 1-3, 2024
12024
Artificial intelligence techniques to improve quality of transmission estimation in optical networks
R Ayassi
Institut Polytechnique de Paris, 2023
2023
First Experimental Demonstration of Full Lifecycle Automation of Optical Network through Fine-Tuned LLM and Digital Twin
C Sun, X Yang, N Di Cicco, R Ayassi, VV Garbhapu, PA Stavrou, ...
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