| contributor author | Kang, Jaewon | |
| contributor author | Cho, Jin Yeon | |
| contributor author | Kim, Jeong Ho | |
| date accessioned | 2026-08-20T21:12:25Z | |
| date available | 2026-08-20T21:12:25Z | |
| date copyright | 2025/10/14 | |
| date issued | 2026 | |
| identifier other | JAEEEZ.ASENG-5755.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314113 | |
| description abstract | AbstractAccurate thermal analysis is essential for reliable satellite thermal design. To improve
the accuracy of thermal analysis, thermal analysis model correlation is performed
using thermal vacuum chamber test results. However, conventional correlation ... | |
| publisher | American Society of Civil Engineers | |
| title | Machine Learning–Based Correlation Methods for Satellite Thermal Analysis Models | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 1 | |
| journal title | Journal of Aerospace Engineering | |
| identifier doi | 10.1061/JAEEEZ.ASENG-5755 | |
| journal fristpage | 04025115-1 | |
| journal lastpage | 04025115-13 | |
| page | 13 | |
| tree | Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 001 | |
| contenttype | Fulltext | |
