20 citations · 83 across the 15 of their papers we have counts for
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astro-ph.GA2023
Predicting reliable H column density maps from molecular line data using machine learning
Yoshito Shimajiri, Yasutomo Kawanishi, Shinji Fujita +13
The total mass estimate of molecular clouds suffers from the uncertainty in the H-CO conversion factor, the so-called factor, which is used to convert the C…
astro-ph.GA2022★ 11 cited
Distance determination of molecular clouds in the 1st quadrant of the Galactic plane using deep learning : I. Method and Results
Shinji Fujita, A. M. Ito, Yusuke Miyamoto +15
Machine learning has been successfully applied in varied field but whether it is a viable tool for determining the distance to molecular clouds in the Galaxy is an open question. I…