Machine Learning-based Assessment
Machine Learning-Based Assessment is a structural condition evaluation methodology that employs machine learning algorithms to analyze sensor data, identify patterns, and predict structural health states, distinguishing it from traditional assessment approaches by its reliance on data-driven modeling and adaptive learning capabilities.
236
Publications
11.9K
Citations
1.1K
Authors
524
Institutions
Publications per year
2017–2026
206
236
How to Read Articles That Use Machine Learning
Yun Liu, Po-Hsuan Cameron Chen, Jonathan Krause et al. · JAMA · 2019 · 517 citations
The State of the Art of Data Science and Engineering in Structural Health Monitoring
Yuequan Bao, Zhicheng Chen, Shiyin Wei et al. · Engineering · 2019 · 459 citations · Full text
1–5 of 236
1.1K
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 1.1K
524
Michigan State University
East Lansing, United States
6 h-index
15 publications
697 citations

Southeast University
Nanjing, China
5 h-index
7 publications
276 citations
Tongji University
Shanghai, China
4 h-index
8 publications
199 citations

Universidade do Porto
Porto, Portugal
4 h-index
15 publications
527 citations

Chongqing University
Chongqing, China
3 h-index
9 publications
180 citations
University College Dublin
Dublin, Ireland
3 h-index
4 publications
392 citations

Xi'an Jiaotong University
Xi'an, China
3 h-index
5 publications
151 citations

University of Macau
Macao, Macao
3 h-index
4 publications
140 citations
1–8 of 524
11 publications · 301 citations
10
h-index
9 publications · 380 citations
9
h-index
SHM · 7 publications · 165 citations
7
h-index
6 publications · 314 citations
6
h-index
5 publications · 147 citations
5
h-index
1–5