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

, , , , , , , , , , and . OFC, page 1-3. IEEE, (2020)

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Machine Learning-Enabled Intelligent Fiber-Optic Communications: Major Obstacles and the Way Forward.. IEEE Commun. Mag., 61 (4): 122-128 (April 2023)Invariant convolutional neural network for robust and generalizable QoT estimation in fiber-optic networks., , , , and . J. Opt. Commun. Netw., 15 (7): 431-441 (July 2023)Optical performance monitoring techniques for high capacity optical networks., , , , , , , and . CSNDSP, page 678-681. IEEE, (2010)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)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)Simultaneous Optical Performance Monitoring and Modulation Format/Bit-Rate Identification Using Principal Component Analysis., , , , and . JOCN, 6 (5): 441-448 (2014)Field Trial of Machine-Learning-Assisted and SDN-Based Optical Network Management., , , , , , , and . OFC, page 1-3. IEEE, (2019)Multimedia Data Encryption and Compression via Hybrid Chaotic Compressive Sensing and Latent Vector Transmission., , , and . ICAIT, page 107-110. IEEE, (2020)Applications of Machine Learning in Optical Communications and Networks., , , , , and . OFC, page 1-91. IEEE, (2020)Automatic modulation format/bit-rate classification and signal-to-noise ratio estimation using asynchronous delay-tap sampling., , , , , , , and . Comput. Electr. Eng., (2015)