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Creators/Authors contains: "Ruffini, Marco"

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  1. null (Ed.)
  2. We analyze an optical control plane algorithm designed to operate in real-time to improve generalized-optical signal-to-noise ratio (gOSNR) quality-of-transmission-estimation (QoT-E), based on OSNR monitoring. We report QoT-E performance improvements of up to 1 dB. 
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  3. A hybrid machine learning (HML) model combining a-priori and a-posteriori knowledge is implemented and tested, which is shown to reduce the prediction error and training complexity, compared to an analytical or neural network learning model. 
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  4. Abstract: A hybrid machine learning (HML) model combining a-priori and a-posteriori knowledge is implemented and tested, which is shown to reduce the prediction error and training complexity, compared to an analytical or neural network learning model. 
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