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Cited article:

Local environmental effects on cosmic ray observations at Syowa Station in the Antarctic: PARMA-based snow cover correction for neutrons and machine learning approach for neutrons and muons

J. Space Weather Space Clim., 12 (2022) 37
DOI: https://doi.org/10.1051/swsc/2022033

Unveiling the impact of cosmic rays and solar activities on climate through optimized boost algorithms

Ahmet Polatoğlu and Enes Gül
Journal of Atmospheric and Solar-Terrestrial Physics 265 106360 (2024)
https://doi.org/10.1016/j.jastp.2024.106360

Global Analysis of the Extended Decreases in Cosmic Rays Observed with Worldwide Networks of Neutron Monitors and Muon Detectors: Temporal Variation of the Rigidity Spectrum and Its Implication

K. Munakata, Y. Hayashi, M. Kozai, C. Kato, N. Miyashita, R. Kataoka, A. Kadokura, S. Miyake, K. Iwai, E. Echer, A. Dal Lago, M. Rockenbach, N. J. Schuch, J. V. Bageston, C. R. Braga, H. K. Al Jassar, M. M. Sharma, M. L. Duldig, J. E. Humble, I. Sabbah, P. Evenson, T. Kuwabara and J. Kóta
The Astrophysical Journal 974 (2) 283 (2024)
https://doi.org/10.3847/1538-4357/ad7466

Machine learning emulator for physics-based prediction of ionospheric potential response to solar wind variations

Ryuho Kataoka, Shinya Nakano and Shigeru Fujita
Earth, Planets and Space 75 (1) (2023)
https://doi.org/10.1186/s40623-023-01896-3