Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations
Abstract Manuscripts based on machine‐learning techniques have significantly increased in Space Weather over the past few years. We discuss which manuscripts are within the journal's scope and emphasize that manuscripts focusing purely on a forecasting technique (rather than on understanding an...
Saved in:
Main Authors: | Noé Lugaz, Huixin Liu, Mike Hapgood, Steven Morley |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-12-01
|
Series: | Space Weather |
Subjects: | |
Online Access: | https://doi.org/10.1029/2021SW003000 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SpaceX—Sailing Close to the Space Weather?
by: Mike Hapgood, et al.
Published: (2022-03-01) -
Thank You to Our 2020 Reviewers
by: Noé Lugaz, et al.
Published: (2021-04-01) -
Thank You to Our 2021 Peer Reviewers
by: Noé Lugaz, et al.
Published: (2022-04-01) -
Space Weather Forecasts of Ground Level Space Weather in the UK: Evaluating Performance and Limitations
by: A. W. Smith, et al.
Published: (2024-11-01) -
2024 Decadal Survey for Space and Solar Physics: Space Weather Inputs
by: Noé Lugaz, et al.
Published: (2022-08-01)