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The flare likelihood and region eruption forecasting (FLARE..:

Georgoulis Manolis K ; Bloomfield D. Shaun ; Piana Michele...
https://www.swsc-journal.org/articles/swsc/full_html/2021/01/swsc200032/swsc200032.html. , 2021

Link: https://doi.org/10.1051/swsc/2021023

RT Journal
T1 <Title>The flare likelihood and region eruption forecasting (FLARECAST) project: flare forecasting in the big data & machine learning era</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:30ac247768104f16acced7f8204b51fc&Exemplar=1&LAN=DE
				
A1 Georgoulis Manolis K
A1 Bloomfield D. Shaun
A1 Piana Michele
A1 Massone Anna Maria
A1 Soldati Marco
A1 Gallagher Peter T
A1 Pariat Etienne
A1 Vilmer Nicole
A1 Buchlin Eric
A1 Baudin Frederic
A1 Csillaghy Andre
A1 Sathiapal Hanna
A1 Jackson David R
A1 Alingery Pablo
A1 Benvenuto Federico
A1 Campi Cristina
A1 Florios Konstantinos
A1 Gontikakis Constantinos
A1 Guennou Chloe
A1 Guerra Jordan A
A1 Kontogiannis Ioannis
A1 Latorre Vittorio
A1 Murray Sophie A
A1 Park Sung-Hong
A1 von Stachelski Samuel
A1 Torbica Aleksandar
A1 Vischi Dario
A1 Worsfold Mark
PB EDP Sciences
YR 2021
K1 sun
K1 solar flares
K1 solar flare forecasting
K1 machine learning
K1 big data
K1 computer science
K1 Meteorology. Climatology
K1 QC851-999
JF https://www.swsc-journal.org/articles/swsc/full_html/2021/01/swsc200032/swsc200032.html
LK http://dx.doi.org/https://doi.org/10.1051/swsc/2021023
DO https://doi.org/10.1051/swsc/2021023
SF ELIB - SuUB Bremen

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