[HTML][HTML] Cosmic-ray extremely distributed observatory
The Cosmic-Ray Extremely Distributed Observatory (CREDO) is a newly formed, global
collaboration dedicated to observing and studying cosmic rays (CR) and cosmic-ray …
collaboration dedicated to observing and studying cosmic rays (CR) and cosmic-ray …
[HTML][HTML] The role of citizen science mobile apps in facilitating a contemporary digital agora
GG Hognogi, M Meltzer, F Alexandrescu… - Humanities and Social …, 2023 - nature.com
The advancements in digital technologies, especially for mobile apps, enabled simplified
data collection methods. Consequently, through Citizen Science, numerous opportunities …
data collection methods. Consequently, through Citizen Science, numerous opportunities …
[HTML][HTML] The practice of detecting potential cosmic rays using CMOs cameras: hardware and algorithms
T Hachaj, M Piekarczyk - Sensors, 2023 - mdpi.com
In this paper, we discuss a practice of potential cosmic ray detection using off-the-shelves
CMOS cameras. We discuss and presents the limitations of up-to-date hardware and …
CMOS cameras. We discuss and presents the limitations of up-to-date hardware and …
[HTML][HTML] 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 …
that follow the citizen science paradigm. The Cosmic Ray Extremely Distributed Observatory …
[HTML][HTML] Zernike moment based classification of cosmic ray candidate hits from CMOS sensors
Reliable tools for artefact rejection and signal classification are a must for cosmic ray
detection experiments based on CMOS technology. In this paper, we analyse the fitness of …
detection experiments based on CMOS technology. In this paper, we analyse the fitness of …
Differentiating signal from artefacts in cosmic ray detection: Applying Siamese spiking neural networks to CREDO experimental data
Abstract The Cosmic Ray Extremely Distributed Observatory (CREDO) is an international
research consortium aimed at observing high energy cosmic ray particles. The associated …
research consortium aimed at observing high energy cosmic ray particles. The associated …
[HTML][HTML] Recognition of cosmic ray images obtained from CMOS sensors used in mobile phones by approximation of uncertain class assignment with deep …
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 …
problems of categorization and artefact reduction of cosmic ray images obtained from CMOS …
Fast training data generation for machine learning analysis of cosmic ray showers
Applying Machine Learning (ML) methods for the analysis of muon lateral distributions in
Extensive Air Showers detected by citizen science projects, while taking into account the …
Extensive Air Showers detected by citizen science projects, while taking into account the …
Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived …
Our work presents the application of the rough sets method in the field of astrophysics for the
analysis of observational data recorded by the Cosmic Ray Extremely Distributed …
analysis of observational data recorded by the Cosmic Ray Extremely Distributed …
[HTML][HTML] On the Search for Potentially Anomalous Traces of Cosmic Ray Particles in Images Acquired by Cmos Detectors for a Continuous Stream of Emerging …
M Piekarczyk, T Hachaj - Sensors, 2024 - mdpi.com
In this paper we propose the method for detecting potential anomalous cosmic ray particle
tracks in big data image dataset acquired by Complementary Metal-Oxide-Semiconductors …
tracks in big data image dataset acquired by Complementary Metal-Oxide-Semiconductors …