83 citations · 212 across the 9 of their papers we have counts for
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astro-ph.SR2020★ 15 cited
Stellar Spectral Interpolation using Machine Learning
Kaushal Sharma, Harinder P. Singh, Ranjan Gupta +6
Theoretical stellar spectra rely on model stellar atmospheres computed based on our understanding of the physical laws at play in the stellar interiors. These models, coupled with…
astro-ph.SR2019★ 83 cited
Application of Convolutional Neural Networks for Stellar Spectral Classification
Kaushal Sharma, Ajit Kembhavi, Aniruddha Kembhavi +3
Due to the ever-expanding volume of observed spectroscopic data from surveys such as SDSS and LAMOST, it has become important to apply artificial intelligence (AI) techniques for a…