Universal machine learning approach to volcanic eruption forecasting using seismic features

Rey Devesa, Pablo; Carthy, Joe; Prudencio, Janire; Titos Luzón, Manuel Marcelino; Prudencio Soñora, Janire; Ibáñez, Jesús M.; Benítez, Carmen

doi:10.3389/feart.2024.1342468

feart-12-1342468.pdf (56.52Mb)

Identificadores

URI: https://hdl.handle.net/10481/93524

DOI: 10.3389/feart.2024.1342468

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Editorial

Frontiers

Fecha

2024-06-26

Referencia bibliográfica

Rey Devesa, P. et. al. Front. Earth Sci. 12:1342468. [https://doi.org/10.3389/feart.2024.1342468]

Patrocinador

Spanish Project PID2022-143083NB-I00, “LEARNING”, funded by MICIU/AEI /10.13039/501100011033; FEDER, UE; projects PROOF-FOREVER (EUR2022.134044), ALARM (C.EXP. 022.UGR23) and IMPROVE; Project: PLEC2022-009271 “DigiVolCa”; MCIN/AEI/10.13039/501100011033 and by EU «NextGenerationEU/PRTR», 10.13039/501100011033

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OpenAIRE (Open Access Infrastructure for Research in Europe)

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