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Experimental Comparisons between Machine Learning and Analytical Models for QoT Estimations in WDM Systems.

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Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems Invited., , , , , , , , , and 1 other author(s). JOCN, 13 (4): B35-B44 (2021)Solving the Nonlinear Schrödinger Equation in Optical Fibers Using Physics-informed Neural Network., , , , , and . OFC, page 1-3. IEEE, (2021)Experimental Comparisons between Machine Learning and Analytical Models for QoT Estimations in WDM Systems., , , , , , , , , and 1 other author(s). OFC, page 1-3. IEEE, (2020)Automated training dataset collection system design for machine learning application in optical networks: an example of quality of transmission estimation., , , , , , and . JOCN, 13 (11): 289-300 (2021)Physics-informed Neural Network for Nonlinear Dynamics in Fiber Optics., , , , , and . CoRR, (2021)Digital Twin-Assisted Optical Power Allocation for Flexible and Customizable SNR Optimization., , , , , , and . OFC, page 1-3. IEEE, (2022)Field Trial of Machine-Learning-Assisted and SDN-Based Optical Network Management., , , , , , , and . OFC, page 1-3. IEEE, (2019)A Fast Amplifier Gain and Tilt Configuration Algorithm for Dynamic C+L-band Networks., , , , and . OFC, page 1-3. IEEE, (2022)Digital twin-enabled Power Optimizer for Multi-span Transmission System Using Autoencoder., , , , , , and . OFC, page 1-3. IEEE, (2021)Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database., , , , , , , , , and 4 other author(s). ECOC, page 1-3. IEEE, (2017)