Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network.
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%0 Journal Article
%1 journals/sensors/HachajBP21
%A Hachaj, Tomasz
%A Bibrzycki, Lukasz
%A Piekarczyk, Marcin
%D 2021
%J Sensors
%K dblp
%N 6
%P 1963
%T Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network.
%U http://dblp.uni-trier.de/db/journals/sensors/sensors21.html#HachajBP21
%V 21
@article{journals/sensors/HachajBP21,
added-at = {2021-04-29T00:00:00.000+0200},
author = {Hachaj, Tomasz and Bibrzycki, Lukasz and Piekarczyk, Marcin},
biburl = {https://www.bibsonomy.org/bibtex/26a23b716f3409122bbd295e7ecc5ad9a/dblp},
ee = {https://doi.org/10.3390/s21061963},
interhash = {ccaeb265cdc8df435c33c77ff5bdc169},
intrahash = {6a23b716f3409122bbd295e7ecc5ad9a},
journal = {Sensors},
keywords = {dblp},
number = 6,
pages = 1963,
timestamp = {2024-04-09T04:23:17.000+0200},
title = {Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network.},
url = {http://dblp.uni-trier.de/db/journals/sensors/sensors21.html#HachajBP21},
volume = 21,
year = 2021
}
