Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network

In this paper, we describe the convolutional neural network (CNN)-based approach to the problems of categorization and artefact reduction of cosmic ray images obtained from CMOS sensors used in mobile phones. As artefacts, we understand all images that cannot be attributed to particles’ passage thro...

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Autors principals:	Tomasz Hachaj, Łukasz Bibrzycki, Marcin Piekarczyk
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-03-01
Col·lecció:	Sensors
Matèries:	cosmic rays CMOS sensors mobile phones citizen science deep neural network approximation transfer learning
Accés en línia:	https://www.mdpi.com/1424-8220/21/6/1963
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