Solar Radio Burst Prediction Based on a Multimodal Model
Solar Radio Burst Prediction Based on a Multimodal Model
About this item
Full title
Author / Creator
Wang, Y. H. , Feng, S. W. , Du, Q. F. , Zhong, Y. Q. , Wang, J. , Chen, J. Y. , Yang, X. and Zhou, Y.
Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
Formats
Publication information
Publisher
Dordrecht: Springer Netherlands
Subjects
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Scope and Contents
Contents
Solar radio bursts are intense radio radiation sources that occur during the energy-release process and represent a hot topic in solar-physics and space-weather research. In this paper, we present a multimode prediction model for daily solar radio bursts. The model uses deep learning and machine learning to obtain data information from different di...
Alternative Titles
Full title
Solar Radio Burst Prediction Based on a Multimodal Model
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_3041703445
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3041703445
Other Identifiers
ISSN
0038-0938
E-ISSN
1573-093X
DOI
10.1007/s11207-024-02296-w
