Automated detection and classification of galaxies based on their brightness patterns
Clues and traces of the universe's origin and its developmental process are deeply buried in galaxy shapes and formations. Automated galaxies classification from their images is complicated due to the faintness of the galaxy images, conflicting bright background stars, and image noise. For this...
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                  | Autores principales: | Mohamed Eassa, Ibrahim Mohamed Selim, Walid Dabour, Passent Elkafrawy | 
|---|---|
| Formato: | article | 
| Lenguaje: | EN | 
| Publicado: | 
        
      Elsevier    
    
      2022
     | 
| Materias: | |
| Acceso en línea: | https://doaj.org/article/fa5c38ad916f41e5962b1db3bc4ded0a | 
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