Neutron Imaging and Learning Algorithms: New Perspectives in Cultural Heritage Applications

Neutron Imaging and Learning Algorithms: New Perspectives in Cultural Heritage Applications

Recently, learning algorithms such as Convolutional Neural Networks have been successfully applied in different stages of data processing from the acquisition to the data analysis in the imaging context. The aim of these algorithms is the dimensionality of data reduction and the computational effort...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Claudia Scatigno, Giulia Festa
Format:	Artykuł
Język:	English
Wydane:	MDPI AG 2022-10-01
Seria:	Journal of Imaging
Hasła przedmiotowe:	data analysis imaging cultural heritage Deep Learning convolutional neural networks segmentation
Dostęp online:	https://www.mdpi.com/2313-433X/8/10/284

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