Classification of Variable Star Light Curves with Convolutional Neural Network

The classification of variable stars is essential for understanding stellar evolution and dynamics. With the growing volume of light curve data from extensive surveys, there is a need for automated and accurate classification methods. Traditional methods often rely on manual feature extraction and s...

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Principais autores:	Almat Akhmetali, Timur Namazbayev, Gulnur Subebekova, Marat Zaidyn, Aigerim Akniyazova, Yeskendyr Ashimov, Nurzhan Ussipov
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-11-01
Serija:	Galaxies
Teme:	variable star light curve machine learning convolutional neural network random forest
Online dostop:	https://www.mdpi.com/2075-4434/12/6/75
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