Author of the publication

Introduction to the JOCN Special Issue on Machine Learning Applied to QoT Estimation in Optical Networks.

, , , and . JOCN, 13 (4): MLAQ1-MLAQ2 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Learning process for reducing uncertainties on network parameters and design margins., , , and . OFC, page 1-3. IEEE, (2017)Benefit of Progressive Deployment of Regenerators Along with Traffic Growth in WDM Elastic Networks., , and . OFC, page 1-3. IEEE, (2018)SDN Automation for Optical Networks Based on Open APIs and Streaming Telemetry., , , , and . ONDM, page 1-6. IEEE, (2022)Proactive Fiber Damage Detection in Real-time Coherent Receiver., , , , , , and . ECOC, page 1-3. IEEE, (2017)How Uncertainty on the Fiber Span Lengths Influences QoT Estimation using Machine Learning in WDM Networks., , , , , and . OFC, page 1-3. IEEE, (2020)Operating a network close to the "zero margin" regime thanks to elastic devices., and . ICTON, page 1. IEEE, (2015)Benefit of ageing of margins in WDM elastic networks when accounting for regeneration., , and . OECC/PSC, page 1-3. IEEE, (2019)Fiber Type Dependent Benefits When Deploying Up-to-300Gb/s Elastic Transponders Adapting to Ageing of Margins., , and . OFC, page 1-3. IEEE, (2018)Faster return of investment in WDM networks when elastic transponders dynamically fit ageing of link margins., , , and . OFC, page 1-3. IEEE, (2016)Machine learning for quality of transmission: a picture of the benefits fairness when planning WDM networks., , , , and . JOCN, 13 (12): 331-346 (2021)