Automated classification of celestial objects using machine learning

The swift expansion of astronomical data requires the automated classification of celestial objects for practical use. Because of its manual and monotonous nature, classification is more prone to errors and is rapidly losing its viability. This study performs the classification of stars, galaxies, a...

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Bibliographic Details
Main Authors: Muhamad Suwaid, Muhammad Aiman Haris, Ab Karim, Muhammad ‘Ilyas Amierrullah, Hassan, Raini, Abdul Aziz, Azni
Format: Article
Language:en
Published: IIUM Press 2025
Subjects:
Online Access:http://irep.iium.edu.my/122465/2/122465_Automated%20classification%20of%20celestial%20objects.pdf
http://irep.iium.edu.my/122465/
https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/537
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