Results 31 to 40 of about 1,269 (230)
On forecasting the sunspot numbers
We have applied a technique recently proposed basing on learning nonlinear dynamics locally to describe the annual sunspot relative numbers. It is proved that the number of past points for prediction should be greater than 4 but less than 10. This rather simple approach yields in average relatively good results for short-term forecasts (< 11 yr ...
J. Kurths, A. A. Ruzmaikin
openaire +2 more sources
The network structure seen in the solar images is the outline of supergranulation, which is the large-scale convection in the Sun with a size of about 30 Mm and a lifetime of 24 hr.
K P Raju +3 more
doaj +1 more source
Sunspot Number Prediction Using Gated Recurrent Unit (GRU) Algorithm
Sunspot is an area on photosphere layer which is dark-colored. Sunspot is very important to be researched because sunspot is affected by sunspot numbers, which present the level of solar activity. This research was conducted to make prediction on sunspot
Unix Izyah Arfianti +4 more
doaj +1 more source
A Deep Learning Approach for Automated Total Sunspot Number Estimation
Accurate sunspot number estimation is essential for understanding the long-term evolution of solar activity and its impact on space weather. Sunspot numbers have been manually determined, leading to inconsistencies and observer-dependent biases.
Yimin Wang +5 more
doaj +1 more source
Active Days around Solar Minimum and Solar Cycle Parameter
Utilizing a new version of the sunspot number and group sunspot number dataset available since 2015, we have statistically studied the relationship between solar activity parameters describing solar cycles and the slope of the linear relationship ...
Heon-Young Chang
doaj +1 more source
The Madrid Astronomical Observatory implemented a solar observation program from 1876 to 1986. In addition to sunspots, the observers at this observatory recorded other solar features such as prominences.
Aparicio Alejandro Jesús Pérez +3 more
doaj +1 more source
Molecular and Cellular Hallmarks of Age‐Related Vestibular Hair Cell Degeneration
This study utilizes single‐cell RNA‐seq transcriptomes, advanced imaging, and electrophysiology to examine universal and cell‐type‐specific aging signatures of vestibular hair cells. The study shows that impaired hair bundle function is a key driver of age‐related vestibular dysfunction.
Samadhi Kulasooriya +10 more
wiley +1 more source
A Bias-free Deep Learning Approach for Automated Sunspot Segmentation
Solar activities significantly influence space weather and the Earth’s environment, necessitating accurate and efficient sunspot detection. This study explores deep learning methods to automate sunspot identification in solar satellite images, keeping ...
Jing Chen +5 more
doaj +1 more source
ABSTRACT Autosomal recessive HARS1‐related disorder (originally described as Usher syndrome type 3B) caused by a homozygous Y454S variant in the histidyl‐tRNA synthetase gene (HARS1) is characterized by progressive sensorineural hearing and vision loss and respiratory deterioration with risk for sudden death following febrile illnesses.
Victoria Mok Siu +23 more
wiley +1 more source
The relative sunspot number is one of the major parameters for the study of long-term solar activity. The automatic calculation of the relative sunspot number is more stable and accurate as compared to manual methods.
Cui Zhao +6 more
doaj +1 more source

