Skip to main navigation
Skip to search
Skip to main content
Kyung Hee University Home
Search content at Kyung Hee University
Home
Profiles
Research units
Research output
Projects
Press/Media
Predicting infall time of Milky Way satellites via machine learning
Seungyeon Kim
,
Myoungwon Jeon
, Seongjun Hyung
College of Applied Science
Department of Astronomy & Space Science
Global Campus
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Press/Media
(1)
Fingerprint
Dive into the research topics of 'Predicting infall time of Milky Way satellites via machine learning'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Physics
Milky Way
100%
Machine Learning
100%
Galaxy Evolution
16%
Physical Process
16%
Star Formation
16%
Galactic Evolution
16%
Dwarf Galaxy
16%
M Stars
16%