Automated detection and classification of galaxies based on their brightness patterns-Reference-Cited by-同舟云学术

Automated detection and classification of galaxies based on their brightness patterns

Published:2022-02 Issue:2 Volume:61 Page:1145-1158
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Eassa Mohamed^ORCID,Mohamed Selim Ibrahim,Dabour Walid,Elkafrawy Passent

Publisher

Elsevier BV

Subject

General Engineering

Reference19 articles.

1. Linda S. Sparke., and John S. Gallagher., “Galaxies in the Universe”, An Introduction, Second Edition. 2007.

2. Nour Eldeen M. Khalifa., Mohamed Hamed N. Taha., Aboul Ella Hassanien., and I. M. Selim., “Deep Galaxy V2: Classification of Galaxies based on Deep Convolutional Neural Networks”, IEEE, 2018.

3. Galaxies image classification using artificial bee colony based on orthogonal Gegenbauer moments;Abd el aziz;Soft Computing, springer,2018

4. “Galaxy detection and identification using deep learning and data augmentation”;Gonzalez;Astronomy and Computing, Elsevier,2018

5. “A Map of the Universe”;Richard Gott;The Astrophysical Journal,2005

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