| contributor author | Wu, Mingjian | |
| contributor author | Kwon, Tae J. | |
| date accessioned | 2026-08-20T20:52:41Z | |
| date available | 2026-08-20T20:52:41Z | |
| date copyright | 2025/09/15 | |
| date issued | 2025 | |
| identifier other | JTEPBS.TEENG-8808.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313609 | |
| description abstract | AbstractThe development of deep learning models for winter road surface conditions (RSC) classification
has advanced in recent years. However, most of these models remain nontransparent,
limiting confidence in their predictions. This study is a pioneering ... | |
| publisher | American Society of Civil Engineers | |
| title | From Opacity to Clarity: Employing Explainable AI to Interpret CNN Predictions on Winter Road Conditions | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 11 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/JTEPBS.TEENG-8808 | |
| journal fristpage | 04025093-1 | |
| journal lastpage | 04025093-13 | |
| page | 13 | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 011 | |
| contenttype | Fulltext | |
