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...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Switzerland), 2021-03, Vol.21 (6), p.1963, Article 1963
Hauptverfasser:	Hachaj, Tomasz, Bibrzycki, Lukasz, Piekarczyk, Marcin
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemistry Chemistry, Analytical citizen science CMOS sensors cosmic rays deep neural network approximation Engineering Engineering, Electrical & Electronic Instruments & Instrumentation mobile phones Physical Sciences Science & Technology Technology transfer learning
Online-Zugang:	Volltext
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