most citedSpectral identification and classification of dusty stellar sources using spectroscopic and multiwavelength observations through machine learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.GA2025

Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds

Sepideh Ghaziasgar, Mahdi Abdollahi, Atefeh Javadi +7

Dusty stellar point sources are a significant stage in stellar evolution and contribute to the metal enrichment of galaxies. These objects can be classified using photometric and s…

astro-ph.GA2022★ 1 cited

Spectral identification and classification of dusty stellar sources using spectroscopic and multiwavelength observations through machine learning

Sepideh Ghaziasgar, Amirhossein Masoudnezhad, Atefeh Javadi +3

We proposed a machine learning approach to identify and distinguish dusty stellar sources employing supervised and unsupervised methods and categorizing point sources, mainly evolv…