Space weather in the machine learning era: A multidisciplinary approach

The workshop entitled Space Weather: A Multidisciplinary Approach took place at the Lorentz Center, University of Leiden, Netherlands, on 25-29 September 2017. The aim of this workshop was to bring together members of the Space Weather, Mathematics, Statistics, and Computer Science communities to address the use of advanced techniques such as Machine Learning, Information Theory, and Deep Learning, to better understand the Sun-Earth system and to improve space weather forecasting. Although individual efforts have been made toward this goal, the community consensus is that establishing interdisciplinary collaborations is the most promising strategy for fully utilizing the potential of these advanced techniques in solving Space Weather-related problems.

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Copyright 2018 American Geophysical Union.


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Author Camporeale, E.
Wing, S.
Johnson, J.
Jackman, C. M.
McGranaghan, Ryan
Publisher UCAR/NCAR - Library
Publication Date 2018-01-15T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2020-02-12T21:08:52.399545
Metadata Record Identifier edu.ucar.opensky::articles:21402
Metadata Language eng; USA
Suggested Citation Camporeale, E., Wing, S., Johnson, J., Jackman, C. M., McGranaghan, Ryan. (2018). Space weather in the machine learning era: A multidisciplinary approach. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d70v8ggv. Accessed 29 February 2020.

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