Natural language processing‐based deep transfer learning model across diverse tabular datasets for bond strength prediction of composite bars in concrete
| Autor(en): |
Pei‐Fu Zhang
(State Key Laboratory of Ocean Engineering Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai China)
Daxu Zhang (State Key Laboratory of Ocean Engineering Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai China) Xiao‐Ling Zhao (Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong China) Xuan Zhao (State Key Laboratory of Ocean Engineering Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai China) Mudassir Iqbal (State Key Laboratory of Ocean Engineering Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai China) Yiliyaer Tuerxunmaimaiti (State Key Laboratory of Ocean Engineering Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai China) Qi Zhao (Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong China) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering |
| DOI: | 10.1111/mice.13357 |
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Datenseite - Reference-ID
10802055 - Veröffentlicht am:
10.11.2024 - Geändert am:
10.11.2024
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