2 citations · 2 across the 2 of their papers we have counts for
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astro-ph.GA2024
Prediction of Star Formation Rates Using an Artificial Neural Network
Ashraf Ayubinia, Jong-hak Woo, Fatemeh Hafezianzadeh +2
In this study, we develop an artificial neural network to estimate the infrared (IR) luminosity and star formation rates (SFR) of galaxies. Our network is trained using 'true' IR l…
astro-ph.GA2023★ 2 cited
Machine learning-based photometric classification of galaxies, quasars, emission-line galaxies, and stars
Fatemeh Zahra Zeraatgari, Fatemeh Hafezianzade, Yanxia Zhang +4
This paper explores the application of machine learning methods for classifying astronomical sources using photometric data, including normal and emission line galaxies (ELGs; star…