Journal article 8 views
An instruction fine-tuning and retrieval-augmented generation framework for intelligent defect diagnosis and maintenance decision support in high-speed railway turnouts
Computer-Aided Civil and Infrastructure Engineering, Volume: 49, Start page: 100098
Swansea University Authors:
Clare Wood , Yue Hou
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.cacaie.2026.100098
Abstract
An instruction fine-tuning and retrieval-augmented generation framework for intelligent defect diagnosis and maintenance decision support in high-speed railway turnouts
| Published in: | Computer-Aided Civil and Infrastructure Engineering |
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| ISSN: | 1093-9687 |
| Published: |
Elsevier BV
2026
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71989 |
| Start Page: |
100098 |
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