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Denoising of Optics Measurements Using Autoencoder Neural Networks
Noise artefacts can appear in optics measurements data due to instrumentation imperfections or uncertainties in the applied analysis methods. A special type of semi-supervised neural networks, autoencoders, are widely applied to denoising tasks in image and signal processing as well as to generative...
| Autores principales: | , |
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| Lenguaje: | eng |
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JACoW
2021
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| Acceso en línea: | https://dx.doi.org/10.18429/JACoW-IPAC2021-THPAB068 http://cds.cern.ch/record/2809485 |