Data-driven Resistance Estimation
Data-Driven Resistance Estimation is a computational methodology within resistance prediction that employs empirical data and statistical learning techniques to model and predict resistance phenomena without relying primarily on first-principles physics-based assumptions.
22
Publications
2.5K
Citations
83
Authors
41
Institutions
Publications per year
2017–2026
17
Parents
22
1–5 of 22
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41
Wuhan University of Technology
Wuhan, China
2 h-index
1 publications
10 citations
Xiamen University
Xiamen, China
1 h-index
5 publications
95 citations
University of Technology Sydney
Sydney, Australia
1 h-index
3 publications
102 citations
Oxford Brookes University
Oxford, United Kingdom
1 h-index
1 publications
29 citations

University of West Florida
Pensacola, United States
1 h-index
1 publications
507 citations

University of North Carolina at Charlotte
Charlotte, United States
1 h-index
2 publications
60 citations
Wuhan University
Wuhan, China
1 h-index
1 publications
35 citations

Harbin Institute of Technology
Harbin, China
1 h-index
2 publications
70 citations
1–8 of 41
2 publications · 60 citations
2
h-index
1 publications · 57 citations
1
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1 publications · 20 citations
1
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1 publications · 344 citations
1
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1 publications · 30 citations
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