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Deep Learning in Solar Astronomy

Deep Learning in Solar Astronomy

Paperback

Series: Springerbriefs in Computer Science

Astronomy & SpacePhysicsProgramming

ISBN10: 9811927456
ISBN13: 9789811927454
Publisher: Springer
Published: May 28 2022
Pages: 92
Weight: 0.36
Height: 0.22 Width: 6.14 Depth: 9.21
Language: English

The volume of data being collected in solar astronomy has exponentially increased over the past decade and we will be entering the age of petabyte solar data. Deep learning has been an invaluable tool exploited to efficiently extract key information from the massive solar observation data, to solve the tasks of data archiving/classification, object detection and recognition.

Also from

Xu, Long

Also in

Astronomy & Space