| 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 | 21 | 2022 |
| 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 | 17 | 2020 |
| 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 | 15 | 2020 |
| 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 | 11 | 2021 |
| 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 | 9 | 2022 |
| 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 | 3 | 2020 |
| 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 | 1 | 2023 |
| Artificial intelligence techniques to improve quality of transmission estimation in optical networks R Ayassi Institut Polytechnique de Paris, 2023 | | 2023 |
Ahmed TrikiOrange InnovationDirección de correo verificada de orange.com
