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Optical power evolution in fiber-optic networks: New framework for better modeling and control - EurekAlert

<p><strong>Research from Shanghai Jiao Tong University introduces a Bayesian inference framework for optimizing optical power evolution in fiber-optic networks. This method significantly reduces data requirements, offering a cost-effective approach for modeling and control. Published in <em>Advanced Photonics</em>, this framework selects the next data point for measurement based on performance estimation and uncertainty analysis, reducing the needed data size. The study demonstrates promising results, with implications for enhancing network efficiency and reliability.</strong></p>

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