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We propose a generic multi-iteration-based lightpath routing and wavelength assignment (RWA) approach, which is efficient to achieve an almost-optimal solution for large-scale networks (with up to one hundred links) under various types of static lightpath demands.
The training set of a universal near infrared (NIR) model for quantitative analysis of a drug should cover as many samples of this drug in the market as possible. Inevitably the model may fail for new products that have different excipients and production processes. In such circumstances the model should be updated. We here propose a new strategy to iteratively update a universal NIR quantitative...
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