Article

HyFiD: LLM-ML Hybrid Framework for Subway Fire Detection

2026-03-03

Abstract excerpt

<title>Abstract</title> <p>Fire detection is vital in subway tunnels where confined geometries and ventilation complicate safety monitoring. Existing methods, such as classical machine learning, detect fire based on multivariate correlations but often lack the contextual reasoning required for disambiguation. This limitation becomes critical when HVAC-driven airflow disrupts thermal stratification and dilutes gas...

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Literature Corpus work: 4e32b414-bda2-558f-ba37-b72a5db9bb83
DOI: 10.21203/rs.3.rs-8760486/v1

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