Graph-Enhanced Prompt Tuning for Evidence-Grounded HFACS Classification in Power-System Safety
Power-system safety is fundamental to protecting lives and ensuring reliable grid operation. Yet, hierarchical text classification (HTC) methods struggle with domain-dense accident narratives that require cross-sentence reasoning, often yielding limited fine-grained recognition, inconsistent label p...
| Published in: | Energies |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-10-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/20/5389 |
