Transfer learning framework for the wind pressure prediction of high-rise building surfaces using wind tunnel experiments and machine learning
Zhejiang University · Sapienza University of Rome · +4 more institutions
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Abstract
No abstract available for this paper.
Citation impact
59
total citations
- FWCI
- 36.90
- Percentile
- 100%
- References
- 69
Citations per year
Authors
6- JWJingyu Wei
Zhejiang University, Sapienza University of Rome
- TSTianhao Shen
Shenyang Jianzhu University
- KWKun Wang
Tongji University
- JLJinlong LiuCorresponding
Southeast University
- SWShiqi Wang
Zhejiang University
Topics & keywords
Topics
Keywords
- Wind tunnel
- Transfer of learning
- Computer science
- Environmental science
- Engineering
- Marine engineering
- Aerospace engineering
- Artificial intelligence
UN Sustainable Development Goals
- Affordable and clean energy
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