scholarly journals Automatic classification of eclipsing binary stars using deep learning methods

2021 ◽  
pp. 100488
Author(s):  
M. Čokina ◽  
V. Maslej-Krešňáková ◽  
P. Butka ◽  
Š. Parimucha
Keyword(s):  
Deep Learning ◽  
Binary Stars ◽  
Automatic Classification ◽  
Learning Methods ◽  
Eclipsing Binary ◽  
Eclipsing Binary Stars

scholarly journals Spectral classification of eclipsing binaries

1986 ◽  
Vol 118 ◽  
pp. 463-464
Author(s):  
George W. Wolf ◽  
Janet T. Kern
Keyword(s):  
New Zealand ◽  
Southern Hemisphere ◽  
Binary Stars ◽  
Eclipsing Binaries ◽  
Spectral Classification ◽  
Eclipsing Binary ◽  
Eclipsing Binary Stars

Approximately 375 classification spectra of 130 Southern Hemisphere eclipsing binary stars were obtained between 1978 and 1982 at Mt. John University Observatory, New Zealand using the 0.6 meter reflector, and at Cerro Tololo Inter-American Observatory, Chile using the 0.4, 0.6, 0.9, and 1.0 meter telescopes. The spectra have been classified by one of us (GWW) using a grid of standards obtained on the various spectrographs at each of the observatories. Since many of the spectra were taken during primary and secondary minima, it has been possible in many cases to classify separately each component in the binaries.

Classification of audio codecs with variable bit-rates using deep-learning methods

2020 ◽  
pp. 102952
Author(s):  
Atieh Khodadadi ◽  
Soheila Molaei ◽  
Mehdi Teimouri ◽  
Hadi Zare
Keyword(s):  
Deep Learning ◽  
Learning Methods

scholarly journals Testing convection in stellar models using detached eclipsing binaries

2006 ◽  
Vol 2 (S239) ◽  
pp. 157-159
Author(s):  
John Southworth ◽  
Hans Bruntt
Keyword(s):  
Binary Stars ◽  
Eclipsing Binaries ◽  
Eclipsing Binary ◽  
Fundamental Properties ◽  
Eclipsing Binary Stars ◽  
Average System ◽  
Stellar Models

AbstractThe fundamental properties of detached eclipsing binary stars can be measured very accurately, which could make them important objects for constraining the treatment of convection in theoretical stellar models. However, only four or five pieces of information can be found for the average system, which is not enough. We discuss studies of more interesting and useful objects: eclipsing binaries in clusters and eclipsing binaries with pulsating components.

Automatic classification of EEG signals via deep learning

2021 ◽  
Author(s):  
Tao Wu ◽  
Xiangzeng Kong ◽  
Yiwen Wang ◽  
Xue Yang ◽  
Jingxuan Liu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Automatic Classification ◽  
Eeg Signals
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