Advances in Astronomy

Big Data Processing and Modeling in Solar Physics


Publishing date
01 Sep 2019
Status
Published
Submission deadline
03 May 2019

Lead Editor

1Chinese Academy of Sciences, Beijing, China

2Space Climate Research Unit and Sodankylä Geophysical Observatory, Oulu, Finland


Big Data Processing and Modeling in Solar Physics

Description

Solar storms could interfere with the radio communication, the precision of Global Positioning Systems, and the safety of satellites and astronauts. Thus, it is important to understand the laws of solar physics and to forecast solar activities.

Although the physical laws of solar activity are not yet completely clear, data mining technology can help researchers to discover potential knowledge from big data. Up to now, massive amounts of solar data have accumulated and the volume of solar data continues to grow each day; therefore there is an increasing need for automatic detection technologies in order to cope with the rapidly growing solar data. The knowledge mined from the big data will bring tremendous benefits to the solar physics and solar activity forecast communities, and the state-of-the-art technology in data mining can help researchers achieve this.

This special issue welcomes original research articles as well as review articles that explore the data processing and modeling technology for solar data, including, but not limited to, the automatic detection of solar activities, the discovery of new rules in solar physics, and the building of effective forecasting models for solar activities.

Potential topics include but are not limited to the following:

  • Algorithms for solar big data processing
  • Solar big data storage and retrieval
  • Automatic detection and recognition from big solar database
  • Association rule mining for solar big data analysis
  • Big data supported solar activity forecasting models

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 6967925
  • - Editorial

Big Data Processing and Modeling in Solar Physics

X. Huang | I. Usoskin | ... | H. N. Wang
  • Special Issue
  • - Volume 2019
  • - Article ID 5343254
  • - Research Article

Mask-Pix2Pix Network for Overexposure Region Recovery of Solar Image

Dong Zhao | Long Xu | ... | Ling-Yu Duan
  • Special Issue
  • - Volume 2019
  • - Article ID 6565379
  • - Research Article

Intelligent Recognition of Time Stamp Characters in Solar Scanned Images from Film

Jiafeng Zhang | Guangzhong Lin | ... | Haimin Wang
  • Special Issue
  • - Volume 2019
  • - Article ID 9196234
  • - Research Article

Deep Learning for Automatic Recognition of Magnetic Type in Sunspot Groups

Yuanhui Fang | Yanmei Cui | Xianzhi Ao
  • Special Issue
  • - Volume 2019
  • - Article ID 5190353
  • - Research Article

Full-Disk Solar Flare Forecasting Model Based on Data Mining Method

Rong Li | Yong Du
  • Special Issue
  • - Volume 2019
  • - Article ID 2748062
  • - Research Article

Effect of Ap-Index of Geomagnetic Activity on S&P 500 Stock Market Return

Lifang Peng | Ning Li | Jingwen Pan
  • Special Issue
  • - Volume 2019
  • - Article ID 7821025
  • - Research Article

Single and Multiwavelength Detection of Coronal Dimming and Coronal Wave Using Faster R-CNN

Zongxia Xie | Chunyang Ji
  • Special Issue
  • - Volume 2019
  • - Article ID 5604092
  • - Research Article

The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet Images

L. Lei | Q. Zhong | ... | S. Liu
Advances in Astronomy
 Journal metrics
Acceptance rate36%
Submission to final decision47 days
Acceptance to publication73 days
CiteScore2.800
Impact Factor2.353
 Submit

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.