Augmented Bayesian Data Selection: Improving Machine Learning Predictions of Bragg Grating Spectra

Bragg gratings are fundamental components in a wide range of sensing applications due to their high sensitivity and tunability. In this work, we present an augmented Bayesian approach for efficiently acquiring limited but highly informative training data for machine learning models in the design and...

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Hlavní autoři:	Igor Nechepurenko, M. R. Mahani, Yasmin Rahimof, Andreas Wicht
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-08-01
Edice:	Sensors
Témata:	machine learning bragg gratings spectral analysis bayesian optimization
On-line přístup:	https://www.mdpi.com/1424-8220/25/16/4970
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