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Award ID contains: 2211944

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  1. Free, publicly-accessible full text available October 6, 2026
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  3. We implement a cascaded learning framework leveraging three different EDFA and fiber component models for OSNR and GSNR prediction, achieving MAEs of 0.20 and 0.14 dB over a 5-span network under dynamic channel loading. 
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    Free, publicly-accessible full text available March 30, 2026
  4. Optical transmission systems require accurate modeling and performance estimation for autonomous adaption and reconfiguration. We present efficient and scalable machine learning (ML) methods for modeling optical networks at component- and network-level with minimized data collection. 
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    Free, publicly-accessible full text available March 30, 2026
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