| contributor author | Cheng, Min-Yuan | |
| contributor author | Khitam, Akhmad F. K. | |
| contributor author | Vu, Quoc-Tuan | |
| contributor author | Widjaja, Daniel Darma | |
| date accessioned | 2026-08-20T10:44:56Z | |
| date available | 2026-08-20T10:44:56Z | |
| date copyright | 2026/05/31 | |
| date issued | 2026 | |
| identifier other | JCEMD4.COENG-18108.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311207 | |
| description abstract | AbstractThe ability to accurately predict and evaluate financial health is crucial for project
owners and stakeholders to ensure stability and minimize risk. Traditional models
such as the Altman Z-score, while widely used, adapt poorly to rapidly ... | |
| publisher | American Society of Civil Engineers | |
| title | Satellite-Inspired Time-Frequency Deep Learning for Predicting and Assessing Financial Health in General Contractors | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 8 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/JCEMD4.COENG-18108 | |
| journal fristpage | 04026120-1 | |
| journal lastpage | 04026120-16 | |
| page | 16 | |
| tree | Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 008 | |
| contenttype | Fulltext | |
