首页|期刊导航|安全科学与韧性（英文）|A lightweight four-channel multi-modal model to improve computational performance of automated fire detection
安全科学与韧性（英文）Issue(2)：1-10,10.DOI:10.1016/j.jnlssr.2025.100254
A lightweight four-channel multi-modal model to improve computational performance of automated fire detection
A lightweight four-channel multi-modal model to improve computational performance of automated fire detection
摘要
关键词
Multi-modal fire detection/RGB-T detection/Lightweight/Deep learning/Thermal image processingKey words
Multi-modal fire detection/RGB-T detection/Lightweight/Deep learning/Thermal image processing引用本文复制引用
Jingshuo Yu,Qian Chen..A lightweight four-channel multi-modal model to improve computational performance of automated fire detection[J].安全科学与韧性（英文）,2026,(2):1-10,10.基金项目
This research was supported by the Campus as a Living Lab Program Grant from the Office of the Vice-President Research and Innovation at the University of British Columbia(Grant No.AWD-027461 UBCVPFIO 2023). （Grant No.AWD-027461 UBCVPFIO 2023）
