CNN-Based Classifier as an Offline Trigger for the CREDO Experiment

CNN-Based Classifier as an Offline Trigger for the CREDO Experiment

Gamification is known to enhance users’ participation in education and research projects that follow the citizen science paradigm. The Cosmic Ray Extremely Distributed Observatory (CREDO) experiment is designed for the large-scale study of various radiation forms that continuously reach the Earth fr...

Full description

Bibliographic Details
Main Authors: Marcin Piekarczyk, Olaf Bar, Łukasz Bibrzycki, Michał Niedźwiecki, Krzysztof Rzecki, Sławomir Stuglik, Thomas Andersen, Nikolay M. Budnev, David E. Alvarez-Castillo, Kévin Almeida Cheminant, Dariusz Góra, Alok C. Gupta, Bohdan Hnatyk, Piotr Homola, Robert Kamiński, Marcin Kasztelan, Marek Knap, Péter Kovács, Bartosz Łozowski, Justyna Miszczyk, Alona Mozgova, Vahab Nazari, Maciej Pawlik, Matías Rosas, Oleksandr Sushchov, Katarzyna Smelcerz, Karel Smolek, Jarosław Stasielak, Tadeusz Wibig, Krzysztof W. Woźniak, Jilberto Zamora-Saa
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
image sensors
global sensor network
gamification
citizen science
convolutional neural networks
image classification
Online Access:https://www.mdpi.com/1424-8220/21/14/4804

Internet

https://www.mdpi.com/1424-8220/21/14/4804

Similar Items