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Creators/Authors contains: "R. Raj, S. Xie"

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  1. (, in Proc. European Conference on Optical Communication (ECOC’23) (to appear), Oct. 2023)
    We develop a machine learning-based model to predict the Raman tilt induced in a multiwavelength signal propagating through a 50km optical fiber deployed in the COSMOS testbed. The neural network model achieves a mean prediction error of 0.02–0.13 dB for randomly loaded channels. 
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    Accepted Manuscript Full Text Available