A new FCM-XGBoost system for predicting Pavement Condition Index
Work
Year: 2024
Type: article
Source: Expert Systems with Applications
Cites: 51
Cited by: 7
Related to: 10
FWCI: 5.119
Citation percentile (by year/subfield): 100
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Climate action
Open Access status: closed
Funders Department of Transportation of Hunan Province, National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, Natural Science Foundation for Distinguished Young Scholars of Hunan Province
Grant IDS 202102, 71871224, 2022JJ10077,