Results 21 to 30 of about 1,165,809 (269)
Predicting Solar Flares Using a Long Short-term Memory Network [PDF]
We present a long short-term memory (LSTM) network for predicting whether an active region (AR) would produce a ϒ-class flare within the next 24 hr. We consider three ϒ classes, namely ≥M5.0 class, ≥M class, and ≥C class, and build three LSTM models ...
Hao Liu, Chang Liu, J. Wang, Haimin Wang
semanticscholar +1 more source
Predicting Solar Flares with Machine Learning: Investigating Solar Cycle Dependence [PDF]
A deep learning network, long short-term memory (LSTM), is used to predict whether an active region (AR) will produce a flare of class Γ in the next 24 hr. We consider Γ to be ≥M (strong flare), ≥C (medium flare), and ≥A (any flare) class. The essence of
Xiantong Wang +9 more
semanticscholar +1 more source
An electronic database has been created for 123801 solar flares that occurred on the Sun over the period from 1972 to 2010. It is based on catalogs of the Solar Geophysical Data (SGD) and Quarterly Bulletin on Solar Activity.
Borovik A.V., Zhdanov A.A.
doaj +1 more source
Solar Radio Bursts with Spectral Fine Structures in Preflares [PDF]
A good observation of preflare activities is important for us to understand the origin and triggering mechanism of solar flares, and to predict the occurrence of solar flares.
Huang, Jing +6 more
core +2 more sources
On the classifications of the solar active regions (ARs); Case study for solar cycles 23 and 24
The declining phase of solar cycle 23 is an important case of study. Many high energetic solar flares occurred in 2003. The occurrence of high energetic solar X-ray flares (X-type) is related to solar cycle’s phases and the state of the active regions ...
Wael Mohamed +2 more
doaj +1 more source
Comparison of VLF Signal Responses to Solar Flares along Daytime and Nighttime Propagation Paths
Solar flares have a severe impact on the near-earth space environment, during which the VLF signals observed by the ground-based instrument exhibit abnormal changes.
Xudong Gu +9 more
doaj +1 more source
Using Machine Learning Methods to Forecast if Solar Flares Will Be Associated with CMEs and SEPs [PDF]
Among the eruptive activity phenomena observed on the Sun, those that threaten human technology the most are flares with associated coronal mass ejections (CMEs) and solar energetic particles (SEPs).
F. Inceoglu +5 more
semanticscholar +1 more source
A Database of Magnetic and Thermodynamic Properties of Confined and Eruptive Solar Flares
Solar flares sometimes lead to coronal mass ejections that directly affect Earth's environment. However, a large fraction of flares, including on solar-type stars, are confined flares.
Maria D. Kazachenko
doaj +1 more source
We investigate gamma-ray emission in the impulsive phase of solar flares and the detectability of nonthermal signatures from protostellar flares. Energetic solar flares emit high-energy gamma rays of GeV energies, but their production mechanism and ...
Shigeo S. Kimura +2 more
doaj +1 more source
Statistical studies of duration of low-power solar flares
This paper is a sequel to papers dealing with time parameters of solar flares in the Hα line. Using data from the international flare patrol for 1972–2010, we have determined the mean duration of flares of different importance and classes of area.
Borovik A.V., Zhdanov A.A.
doaj +1 more source

