Pilot study of eruption forecasting with muography using convolutional neural network

Muography is a novel method of visualizing the internal structures of active volcanoes by using high-energy near-horizontally arriving cosmic muons. The purpose of this study is to show the feasibility of muography to forecast the eruption event with the aid of the convolutional neural network (CNN)...

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Detalles Bibliográficos
Autores principales: Nomura, Yukihiro, Nemoto, Mitsutaka, Hayashi, Naoto, Hanaoka, Shouhei, Murata, Masaki, Yoshikawa, Takeharu, Masutani, Yoshitaka, Maeda, Eriko, Abe, Osamu, Tanaka, Hiroyuki K. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093437/
https://www.ncbi.nlm.nih.gov/pubmed/32210328
http://dx.doi.org/10.1038/s41598-020-62342-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093437/
https://www.ncbi.nlm.nih.gov/pubmed/32210328
http://dx.doi.org/10.1038/s41598-020-62342-y

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