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Intelligent Joint Multi-Parameter Optical Performance Monitoring Scheme Based on Ht Images and Mt-Resnet for Elastic Optical Network
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11082-022-04454-5openalex-extracted
Modulation format recognition using CNN-based transfer learning models
inferredcites →https://doi.org/10.1016/j.ijleo.2022.169003openalex-extracted
Optical signal monitoring using multi-task residual network
inferredcites →https://doi.org/10.1016/j.optcom.2020.126280openalex-extracted
A modified PSO assisted blind modulation format identification scheme for elastic optical networks
inferredcites →https://doi.org/10.1016/j.optcom.2020.126469openalex-extracted
Cost-effective OSNR monitoring with large chromatic dispersion tolerance using random forest for intermediate nodes
inferredcites →https://doi.org/10.1016/j.optcom.2021.127657openalex-extracted
Joint modulation format identification and OSNR estimation method based on trajectory information analysis
inferredcites →https://doi.org/10.1016/j.yofte.2022.102873openalex-extracted
Simultaneous baud rate/modulation format identification and multi-parameter optical performance monitoring using multi-task learning with enhanced picture of Radon transform
inferredcites →https://doi.org/10.1016/j.yofte.2022.103208openalex-extracted
Protection by diversity in elastic optical networks subject to single link failure
inferredcites →https://doi.org/10.1109/access.2019.2939043openalex-extracted
Feature Fusion-Based Multi-Task ConvNet for Simultaneous Optical Performance Monitoring and Bit-Rate/Modulation Format Identification
inferredcites →https://doi.org/10.1109/access.2020.2998155openalex-extracted
Delay-Tap-Sampling-Based Chromatic Dispersion Estimation Method With Ultra-Low Sampling Rate for Optical Fiber Communication Systems
inferredcites →https://doi.org/10.1109/cds52072.2021.00015openalex-extracted
MT-ResNet: A Multi-Task Deep Network for Facial Attractiveness Prediction
inferredcites →https://doi.org/10.1109/comst.2020.3018494openalex-extracted
Machine Learning Techniques for Optical Performance Monitoring and Modulation Format Identification: A Survey
inferredcites →https://doi.org/10.1109/jlt.2020.3041520openalex-extracted
Cost-Effective Multi-Parameter Optical Performance Monitoring Using Multi-Task Deep Learning With Adaptive ADTP and AAH
inferredcites →https://doi.org/10.1109/jlt.2020.3043012openalex-extracted
Optical Performance Monitoring of Multiple Parameters in Future Optical Networks
inferredcites →https://doi.org/10.1109/jlt.2022.3149412openalex-extracted
Intelligent Optical Performance Monitoring Based on Intensity and Differential-Phase Features for Digital Coherent Receivers
inferredcites →https://doi.org/10.1109/jphot.2018.2880832openalex-extracted
Training Sequence-Based Chromatic Dispersion Estimation With Ultra-Low Sampling Rate for Optical Fiber Communication Systems
inferredcites →https://doi.org/10.1109/jphot.2019.2941984openalex-extracted
OSNR Monitoring Using Support Vector Ordinal Regression for Digital Coherent Receivers
inferredcites →https://doi.org/10.1109/jphot.2021.3056138openalex-extracted
Modulation Format Identification Using Graph-Based 2D Stokes Plane Analysis for Elastic Optical Network
inferredcites →https://doi.org/10.1109/jphot.2022.3153638openalex-extracted
Multi-Task Learning Convolutional Neural Network and Optical Spectrums Enabled Optical Performance Monitoring
inferredcites →https://doi.org/10.1109/jstqe.2022.3174268openalex-extracted
Neural Networks-Based Equalizers for Coherent Optical Transmission: Caveats and Pitfalls
inferredcites →https://doi.org/10.1109/lpt.2017.2755663openalex-extracted
Applying Neural Networks in Optical Communication Systems: Possible Pitfalls
inferredcites →https://doi.org/10.1109/tii.2021.3121783openalex-extracted
Juggler-ResNet: A Flexible and High-Speed ResNet Optimization Method for Intrusion Detection System in Software-Defined Industrial Networks
inferredcites →https://doi.org/10.1364/ao.434248openalex-extracted
Modulation format recognition based on constellation diagrams and the Hough transform
inferredcites →https://doi.org/10.1364/ao.439749openalex-extracted
Blind modulation format identification based on improved PSO clustering in a 2D Stokes plane
inferredcites →https://doi.org/10.1364/jocn.471154openalex-extracted
Knowledge distillation technique enabled hardware efficient OSNR monitoring from directly detected PDM-QAM signals
inferredcites →https://doi.org/10.1364/oe.395433openalex-extracted
Blind and low-complexity modulation format identification scheme using principal component analysis of Stokes parameters for elastic optical networks
inferredcites →https://doi.org/10.1364/oe.474207openalex-extracted
Simultaneous modulation format identification and OSNR monitoring based on optoelectronic reservoir computing
inferredcites →https://doi.org/10.3390/photonics10040373openalex-extracted
Modulation Format Identification and OSNR Monitoring Based on Multi-Feature Fusion Network
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