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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Detalles Bibliográficos
Autores principales: Hachaj, Tomasz, Bibrzycki, Łukasz, Piekarczyk, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001219/
https://www.ncbi.nlm.nih.gov/pubmed/33799607
http://dx.doi.org/10.3390/s21061963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001219/
https://www.ncbi.nlm.nih.gov/pubmed/33799607
http://dx.doi.org/10.3390/s21061963

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