Multisource Feature Aggregation Approach for Predicting Extreme Pitting Depth Distributions of In Situ Bridge Cable Wires
Year: 2026
Type: article
Source: Journal of Bridge Engineering
Institutions: Zhejiang University, Hangzhou City University
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7161961139
